http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.24.pdf, Using the RUPEX Multichannel Corpus in a Pilot fMRI Study on Speech Disfluencies, Katerina Smirnova, Nikolay Korotaev, Yana Panikratova, Irina Lebedeva, Ekaterina Pechenkova and Olga Fedorova. Overall, the analysis shows that multimodal cues are crucial for accurate analysis of group cohesion. Mention detection is an important preprocessing step for annotation and interpretation in applications such as NER and coreference resolution, but few stand-alone neural models have been proposed able to handle the full range of mentions. The paper looks into four dialogue modeling approaches and how their objective functions correlate with human annotation scores. To demonstrate its utility, we also propose two baseline models for the downstream tasks: coreference resolution and referring expression generation. 510 errors in 60 essays of the test partition. Third, we develop a gradual design process for acquiring dialogue corpora and improving the interactive agents. Komnata starinnykh kljuchej. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.4.pdf, NoEl: An Annotated Corpus for Noun Ellipsis in English, Payal Khullar, Kushal Majmundar and Manish Shrivastava. Moreover, and this is the first dataset of this type, we have designed an experiment during which different participants had to watch the movies and give an evaluation of the interaction. These great research discoveries coincide with an increasing trend for voice-based technologies in the customer care market. 2013. The paper proposes to verify the AC-hypotheses by measuring the activity of all ensembles of neurons coding and decoding the AC. A. Laleye, Gaël de Chalendar, Antonia Blanié, Antoine Brouquet and Dan Behnamou. Business course of English of bogatskiya word. In this paper, we first discuss the principle and guidelines for feedback comment annotation. Moreover, the two search engines show significant advantages over each other in different categories, thereby reflecting strengths and weaknesses of the different underlying techniques. Then, we realize context-aware dialogue generation under the situation of small corpora. The results show that proactive assistant behavior is rated similarly positive as non-proactive behavior. The experimental results indicate that the collected emotional expressions with their speeches have higher emotional expressiveness for expressing the system’s emotion to users. The goal of Behaviour-based Language-Interactive Speaking Systems (BLISS) is to understand the motivations behind people's happiness by conducting a personalized spoken dialogue based on a happiness model. Just leaving this powerful pair of sentences here. Previous computational work on ellipsis resolution has focused on one type of ellipsis, namely Verb Phrase Ellipsis (VPE) and a few other related phenomenon. Access scientific knowledge from anywhere. Finally, we perform the same experiments on Korean Hangul, a non-alphabetic writing system, where we find the opposite results: slower responses as a function of denser neighborhoods, and a negative effect of inverse feature weighting. The outcomes of this work are now publicly available as a new release of Korean FrameNet 1.1. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.30.pdf, Towards a Reliable and Robust Methodology for Crowd-Based Subjective Quality Assessment of Query-Based Extractive Text Summarization, Neslihan Iskender, Tim Polzehl and Sebastian Möller. In this paper, we built a speech dialogue corpus in a persuasive scenario that uses emotional expressions to build a persuasive dialogue system with emotional expressions. Crowdsourcing platforms, such as Amazon Mechanical Turk, have been an effective method for collecting such large amounts of data. AMR offers a valuable level of abstraction of the propositional content of an utterance; however, it does not capture the illocutionary force or speaker’s intended contribution in the broader dialogue context (e.g., make a request or ask a question), nor does it capture tense or aspect. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.28.pdf, Quality Estimation for Partially Subjective Classification Tasks via Crowdsourcing. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.38.pdf, Predicting Multidimensional Subjective Ratings of Children’ Readings from the Speech Signals for the Automatic Assessment of Fluency, Gérard Bailly, Erika Godde, Anne-Laure Piat-Marchand and Marie-Line Bosse. ELRA and LDC partner on a joint distribution of LRs from the 2006 CoNLL shared task. Elena Mikhalkova, Writer: Nezhniye listya, yadovitiye korny. Pictograms are a tool that is more and more used by people with cognitive or communication disabilities. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.83.pdf, Multimodal Corpus of Bidirectional Conversation of Human-human and Human-robot Interaction during fMRI Scanning, Birgit Rauchbauer, Youssef Hmamouche, Brigitte Bigi, Laurent Prévot, Magalie Ochs and Thierry Chaminade. We focus on a specific error type, namely linking adverbial (e.g. We present the procedures and measures developed to analyze a sample of 14,913,009 keystrokes in 3,454 texts produced by 512 university students (upper-intermediate to advanced L2 learners of English) (95,354 sentences and 18,32,027 words) aiming to achieve a better alignment between keystroke-logging measures and underlying cognitive processes, on the one hand, and L2 writing performance measures, on the other hand. These show that open-ended comments and mitigating expressions appear in a higher proportion of successful revisions than unsuccessful ones, while directness and metalinguistic terms have no effect. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.77.pdf, EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators, Chandrakant Bothe, Cornelius Weber, Sven Magg and Stefan Wermter. We test different feature sets consisting of dialogue act features, grammatical features and linguistic features as input for our classifier and perform classification in two and three classes. Our analysis shows that mention detection can be improved by focusing on boundary identification while advances in the pronoun-noun relation detection can help the coreference task. (Priego-valverde & al.,2018). Moreover, responsive utterances can express empathy to narratives and showing an appropriate degree of empathy to narratives is significant for enhancing speaker's motivation. However, a more in-depth look shows some potential for using anomaly detection for evaluating dialogues. 2011. The test results will serve as an initiative result for each Korean information extraction task and are expected to serve as a comparison target for various studies on Korean information extraction using the data collected in this study. The dialogs sometimes cross and blend domains,  and the users exhibit complex task switching behavior such as re-initiating a previous task in the dialog by referencing the entities within it. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.65.pdf, PATE: A Corpus of Temporal Expressions for the In-car Voice Assistant Domain, Alessandra Zarcone, Touhidul Alam and Zahra Kolagar. 2011. and metaphoric framing interact to influence polit-, Hamill, Egon Stemle, Rutuja Ubale, and Xianyang, Jeannette Littlemore, Tina Krennmayr, James Turner, metaphor use at different levels of second language. In this paper, we introduce an architecture to simultaneously identify non-referring expressions (including expletives, predicative {\NP}s, and other types)  and build coreference chains, including singletons. metaphor classification as per the shared task, while the other is meant to provide additional, training that we hypothesized to be relevant, data manually annotated for metaphor is used, domain data automatically annotated for id-. however, moreover) errors. $25.40. And listened more deeply. The Room of Ancient Keys. However, the commonly used majority voting method to aggregate reviewers' evaluations does not work effectively for partially subjective or purely subjective tasks because reviewers' sensitivity and bias of evaluation tend to have a wide variety. Expressivity is particularly difficult to predict since there is no unique golden standard. The corpus currently contains 8 422 sentences exhibiting several types of errors—grammatical, lexical, orthographic, etc.—which were committed by learners during practice and were automatically annotated by Revita. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.47.pdf, Toward a Paradigm Shift in Collection of Learner Corpora, Anisia Katinskaia, Sardana Ivanova and Roman Yangarber. Jul 9, 2020 - This Pin was discovered by Kathy Carr. First, we let the avatar maker list pairs by intuition, guessing what possible questions a user may ask to the avatar. The CEFRLex project aims at compiling lexical resources that link single words and multi-word expressions to particular CEFR levels. All figure content in this area was uploaded by Michael Flor, Go Figure! The inclusion of CR as a pre-processing step is expected to lead to improvements in downstream tasks. As a result, it was demonstrated that annotated multichannel corpora like RUPEX can be an important resource for experimental research in interdisciplinary fields. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.6.pdf, GerDraCor-Coref: A Coreference Corpus for Dramatic Texts in German. Resolving Indirect Speech Acts (ISAs), in which the intended meaning of an utterance is not identical to its literal meaning, is essential to enabling the participation of intelligent systems in peoples' everyday lives. the present experiment we used this system with, rather conservative settings that yielded precision, the TOEFL data; see the leftmost column in Fig-, evaluation, for this system configuration, most of, the errors were cases where the expression is iden-, tified correctly but it is used literally rather than, tem detected 3,581 different idiom types in the, BNC, with 179,967 instances of (candidate) id-. nomenon – a different type of figurative language, of many idiomatic expressions have been noted, The main idea here is that one or more of, the words participating in idiomatic expressions, capitalized word is a metaphor while the other, pears likely that the preponderance of metaphors, within idiomatic expressions would be higher than, that learning to detect idioms – a different but re-, lated type of figurative language – could help with, metaphor detection, as these might tend to be used, to explore these observations by setting idiom de-, tection as an auxiliary task for the main metaphor, Although there exists considerable prior re-, search on automatic detection of idioms (for a, constrained to very small sets of idioms or to par-, candidate expressions but does not verify their id-, this particular system is that it has very wide cov-, in a particular corpus might be well-known idioms, with a dictionary of about 5000 English idiomatic, expressions (culled from Wiktionary), and per-, forms a flexible search for idioms and their syn-. Specifically, the linguistic structure of utterances referring to concrete actions may reflect the structure of the sensorimotor processing underlying the same action. Conference on Affective Computing and Intelligent. We have conducted a survey on how text worlds and their elements are annotated in different projects and proposed our own annotation scheme and instructions. We believe the temple corpus will aid scientific study of temples and the platform will aid in construction of similar corpuses. Using linear regression, we developed dialogue evaluation functions based on features from the simulated dialogues and the MTurkers' ratings, the WOz dialogues and the MTurkers' ratings, and the WOz dialogues and the WOz participants' ratings. A Case Study for Analyzing Smiling and Conversational Humor, Béatrice Priego-Valverde, Brigitte Bigi and Mary Amoyal. metaphor by learning to attend to idioms. we use metaphor prediction on the VUA corpus. Recommendation systems aim at facilitating information retrieval for users by taking into account their preferences. Moreover, given the historical relationship between biological and artificial neural networks, the advent of deep learning has re-sparked strong interests in the fusion of NLP and the neuroscience of language. Therefore, we aim to provide proactive PA suggestions to car drivers via speech. when compared with our strong baseline systems (pipeline system and end-to-end system) respectively. Cheese! Although this does not lead to a complete annotation according to the standard, the 347 dialogs provide a relevant amount of data that can be used in the development of automatic communicative function recognition approaches, which may lead to a wider adoption of the standard. Hence, our dataset also includes user dialogue acts as well as multiple slot descriptions per dialogue state slot. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.5.pdf, An Annotated Dataset of Coreference in English Literature, David Bamman, Olivia Lewke and Anya Mansoor. yielded better results, which are reported here. The paper describes the findings from neuroscience, phonetics and the science of evolution leading to the AC-hypotheses. We are publicly releasing MultiWOZ 2.1 to the community, hoping that this dataset resource will allow for more effective models across various dialogue subproblems to be built in the future. Second, we record actual dialogues between random individuals and the avatar-maker. Deep neural network models have played a critical role in sentiment analysis with promising results in the recent decade. This week in AI. We also observe that, dialogue acts and head nods did not have an impact on the level of cohesion by itself. Spelling correction has attracted a lot of attention in the NLP community. Although no significant differences are found between implicit and explicit strategies, proactivity significantly influences the user experience compared to reactive system behaviour. First, we break down naturally occurring examples of multiple-metaphor gestures, as well as metaphoric scenes created by gesture sequences. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.53.pdf, A Comparison of Explicit and Implicit Proactive Dialogue Strategies for Conversational Recommendation, Matthias Kraus, Fabian Fischbach, Pascal Jansen and Wolfgang Minker. To investigate the appropriateness of crowdsourcing for this task, we conduct intensive comparative crowdsourcing and laboratory experiments, evaluating nine extrinsic and intrinsic quality measures on 5-point MOS scales. Finally, performance of the current state-of-the-art deep learning models on. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.86.pdf, Relation between Degree of Empathy for Narrative Speech and Type of Responsive Utterance in Attentive Listening, Koichiro Ito, Masaki Murata, Tomohiro Ohno and Shigeki Matsubara. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.13.pdf, Affection Driven Neural Networks for Sentiment Analysis, Rong Xiang, Yunfei Long, Mingyu Wan, Jinghang Gu, Qin Lu and Chu-Ren Huang. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.58.pdf, "Cheese! idioms in the BNC and TOEFL 11 corpora. The latter were presented by a proactive voice assistant and in a non-proactive control condition. Our system grounds language on the level of edit operations, and suggests options for users to choose from. this paper, we introduce the pedagogical reference resolution game (RDG-Map) and the characteristics of the corpus collected. We provide benchmark Some of these cookies are essential to the operation of the site, while others help to improve your experience by providing insights into how the site is being used. We extended an existing text dialogue corpus by adding variations of emotional responses to cover different combinations of broad dialogue context and a variety of emotional states by crowd-sourcing. idiomaticity. We develop the methodology using a two-step strategy. Assessing Chinese Readers' Veridicality Judgments. This paper addresses the difficult problems of constructing a corpus of ISAs, taking inspiration from relevant work in using corpora for reasoning tasks. 07/18/2017 ∙ by Elena Mikhalkova, et al. metaphor task (our main task) and the auxiliary, tasks are mixed and trained on in an interleaved, manner; the specifics will be described for each, main task to dominate the learning, we also scale, the gradient of the auxiliary tasks by a factor of, 0.1. Then, we present descriptive statistics of the annotation, particularly focusing on which dialogue acts often follow each other across speakers and which dialogue acts overlap with gestural behaviour. In this paper, we consider a different genre, namely précis texts. Maike Paetzel, Deepthi Karkada and Ramesh Manuvinakurike. RDG-Map: A Multimodal Corpus of Pedagogical Human-Agent Spoken Interactions. The prediction module of this tool is based on classifiers trained using a corpus of human-human and human-robot conversations including fMRI recordings. These transcriptions are based on audio recordings of exercise sessions within the university and only the doctor's utterances could be transcribed. These machine learning data for Korean information extraction are the first of their kind, and there are plans to continuously increase the data volume. This paper presents an empirical study on the effects of proactive dialogue strategies on user acceptance. Illiuziia igry Jan 1, 2019. by Mikhalkova Elena Ivanovna Paperback. Metaphoric competence, second language learning, Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Man-, End-to-end sequential metaphor identification in-, 57th Annual Meeting of the Association for Compu-, how do non-experts and machines deal with a, ternational Conference on Analysis of Images, So-, Geoffrey Nunberg, Ivan A. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.61.pdf, Emotional Speech Corpus for Persuasive Dialogue System, Sara Asai, Koichiro Yoshino, Seitaro Shinagawa, Sakriani Sakti and Satoshi Nakamura. In this paper, we present an annotated corpus of German dramatic texts, a preliminary analysis of the corpus as well as some baseline experiments on automatic CR. In the paper we also evaluate BERT feature extraction and fine-tune models on the task, and compare them with our model. by Mikhalkova Elena Ivanovna | 1 Jan 2020. The resource introduced in this paper is a reflection of increasing recognition of the urgent need to obtain ecologically valid data that have the potential to transform our current understanding of mechanisms underlying the development of literacy (reading and writing) skills. In the future, we plan to integrate the (partial) information given in the dramatis personae into the CR model. Coreference resolution aims at identifying and grouping all mentions referring to the same entity. A publicly-available corpus of authentic misspellings, annotated in context, is still lacking. Afanasyev grade 8 teacher book. by Mikhalkova Elena Ivanovna | 1 Jan 2020. We present a corpus of 240 argumentative es- These dialogs are given rich linguistic annotations by expert linguists for several types of reference mentions and named entity mentions, either of which can span multiple words, as well as for coreference links between mentions. Thus, we present a unique corpus to study human conversations including neural, physiological and behavioral data. We recorded and preprocessed ZuCo 2.0, a new dataset of simultaneous eye-tracking and electroencephalography during natural reading and during annotation. Currently, this resource combines approximately 800 pictograms with their corresponding WordNet synsets and it is accessible both through a digital collection and via an SQL database. Detecting metaphors is challenging due to the subtle ontological differences between metaphorical and non-metaphorical expressions. This paper presents a multimodal corpus of 209 spoken game dialogues between a human and a remote-controlled artificial agent. Temples are an integral part of culture and heritage of India and are centers of religious practice for practicing Hindus. LARA (Learning and Reading Assistant) is an open source platform whose purpose is to support easy conversion of plain texts into multimodal online versions suitable for use by language learners. Due to the idiosyncrasies of the task, traditional methods of corpus creation are not effective enough approaches for this problem. To manage these annotations at scale, it is important to predict completion timelines and compute fair pricing for workers in advance. On this basis, we outline applications of the dataset to both basic and applied research. And we hope JDDC can serve as an effective testbed and benefit the development of fundamental research in dialogue task. Elena Mikhalkova. This direct linkage from input to output decouples the annotation from specific language understanding or generation strategies. This paper presents an alternative in which we preprocess documents, linking entities to a knowledge base, and turn the coreference annotation task -- in our case limited to pronouns -- into an annotation task where annotators are asked to assign pronouns to entities. Note: phens are treated as between-word delimiters and are, “day to day” will be matched, even though these are. Therefore, an explicit strategy based on user preferences provided directly by the user, and an implicit proactive strategy, using autonomously gathered information, are compared. In this article, we explain the needs for this database and the problems that have been identified. Two important roles of the chat-talk system are keeping the user engaged and establishing rapport. We introduce as a baseline an end-to-end trained self-attention decoder model trained on this data and show that it is able to generate opinionated responses that are judged to be natural and knowledgeable and show attentiveness. Since novices are inexperienced with image editing techniques, their instructions are often ambiguous and contain high-level abstractions which require complex editing steps. With the LKG-Corpus, we present a dataset that integrates linguistic, kinematic and gaze data with an explicit focus on relations between action and language. This model allows us to study the impact of mention detection errors on coreference resolution. What is less clear is the extent to which the expression of multiple metaphors in a single gesture reliably affect viewer interpretation. . The corpus is then enriched with different multimodal annotations at the verbal and non-verbal levels. In this work, we present a novel data set and methods based on Natural Language Processing, for making progress towards modern applications and e-learning tools that support this training by providing language-based user interfaces with virtual patients. 126‑132: pdf: bib: Cortical Speech Databases For Deciphering the Articulatory Code Harald Höge : pp. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.57.pdf, The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for E-commerce Customer Service, Meng Chen, Ruixue Liu, Lei Shen, Shaozu Yuan, Jingyan Zhou, Youzheng Wu, Xiaodong He and Bowen Zhou. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.33.pdf, Creating Expert Knowledge by Relying on Language Learners: a Generic Approach for Mass-Producing Language Resources by Combining Implicit Crowdsourcing and Language Learning, Lionel Nicolas, Verena Lyding, Claudia Borg, Corina Forascu, Karën Fort, Katerina Zdravkova, Iztok Kosem, Jaka Čibej, Špela Arhar Holdt, Alice Millour, Alexander König, Christos Rodosthenous, Federico Sangati, Umair ul Hassan, Anisia Katinskaia, Anabela Barreiro, Lavinia Aparaschivei and Yaakov HaCohen-Kerner. Analysis of the resulting corpus revealed strong effects of genre on idiom distribution, providing new evidence for existing theories on what influences idiom usage. Javascript must be enabled for the correct page display skip to content Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday. Baseline experiments show a performance of 28.8 CoNLL score achieved by the rule-based CR system CorZu. Finally, we describe several characteristics of collected data, and potential future work. during training. But the visitors were not forced to solve the quiz with the help of the voice assistant and thus many visitors had an open conversation. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.21.pdf, Orthographic Codes and the Neighborhood Effect: Lessons from Information Theory, Stéphan Tulkens, Dominiek Sandra and Walter Daelemans. Developing a well-functioning TOIA involves several research areas: artificial intelligence, human-computer interaction, natural language processing, question answering, and dialogue systems. Although several language resources exist for the product-oriented approach to revisions, there are hardly any resources available yet for an in-depth analysis of the process of revisions. This dataset allows for studies around the characteristics of teacher feedback and how these influence students’ revision outcome. The study contributes new insights to the human-agent interaction and the voice user interface design. The goal of our research is to test the performance of CQA systems under low-resource conditions which are common for most non-English languages: small amounts of native annotations and other limitations linked to low resource languages, like lack of crowdworkers or smaller wikipedias. Though compelled to express in low-level terms, user evaluation shows that 25\% of users found our system easy-to-use, resonating with our motivation. In the last years, the state of the art of NLP research has made a huge step forward. The EPA vectors are mapped to an affective influence value and then integrated into Long Short-term Memory (LSTM) models to highlight affective terms. Depending on the way a recommendation is communicated influences the user’s perception of the system. Each AC-message is related to a syllable. tween writing proficiency and metaphor use. This experimental protocol allows to analyze how the participants are getting acquainted. And the People Stayed Home. In this paper, we present our first prototype of the BLISS agent, an artificial intelligent agent which intends to automatically discover what makes people happy and healthy. Questionnaires provide an alternative way to extract such information, though typically lack depth. We present a statistical study of our corpus with novel insights on the distribution of noun ellipsis, its licensors and antecedents. With the exception of the annotation of stable gaze, all annotations were performed manually. by Elena Mihalkova Hardcover. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.44.pdf, A Process-oriented Dataset of Revisions during Writing, Rianne Conijn, Emily Dux Speltz, Menno van Zaanen, Luuk Van Waes and Evgeny Chukharev-Hudilainen. http://www.lrec-conf.org/proceedings/lrec2020/pdf/2020.lrec-1.62.pdf, Multimodal Analysis of Cohesion in Multi-party Interactions, Reshmashree Bangalore Kantharaju, Caroline Langlet, Mukesh Barange, Chloé Clavel and Catherine Pelachaud. The resulting enriched texts are posted online and are freely available in both source and compiled form. ": a Corpus of Face-to-face French Interactions. This corpus comprises the knowledge base in text format, the video clips for each answer, and the annotated dialogues.

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