Paper Group NANR 159
Why ``Blow Out’'? A Structural Analysis of the Movie Dialog Dataset. VoxSim: A Visual Platform for Modeling Motion Language. TextImager: a Distributed UIMA-based System for NLP. Frustratingly Easy Cross-Lingual Transfer for Transition-Based Dependency Parsing. Factoring Adjunction in Hierarchical Phrase-Based SMT. Proceedings of the 30th Pacific As …
Why ``Blow Out’'? A Structural Analysis of the Movie Dialog Dataset
| Title | Why ``Blow Out’'? A Structural Analysis of the Movie Dialog Dataset | |
| Authors | Richard Searle, Megan Bingham-Walker |
| Abstract | |
| Tasks | Information Retrieval, Question Answering, Representation Learning |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-1625/ |
| https://www.aclweb.org/anthology/W16-1625 | |
| PWC | https://paperswithcode.com/paper/why-blow-out-a-structural-analysis-of-the |
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VoxSim: A Visual Platform for Modeling Motion Language
| Title | VoxSim: A Visual Platform for Modeling Motion Language |
| Authors | Nikhil Krishnaswamy, James Pustejovsky |
| Abstract | Much existing work in text-to-scene generation focuses on generating static scenes. By introducing a focus on motion verbs, we integrate dynamic semantics into a rich formal model of events to generate animations in real time that correlate with human conceptions of the event described. This paper presents a working system that generates these animated scenes over a test set, discussing challenges encountered and describing the solutions implemented. |
| Tasks | Scene Generation |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/C16-2012/ |
| https://www.aclweb.org/anthology/C16-2012 | |
| PWC | https://paperswithcode.com/paper/voxsim-a-visual-platform-for-modeling-motion |
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TextImager: a Distributed UIMA-based System for NLP
| Title | TextImager: a Distributed UIMA-based System for NLP |
| Authors | Wahed Hemati, Tolga Uslu, Alex Mehler, er |
| Abstract | More and more disciplines require NLP tools for performing automatic text analyses on various levels of linguistic resolution. However, the usage of established NLP frameworks is often hampered for several reasons: in most cases, they require basic to sophisticated programming skills, interfere with interoperability due to using non-standard I/O-formats and often lack tools for visualizing computational results. This makes it difficult especially for humanities scholars to use such frameworks. In order to cope with these challenges, we present TextImager, a UIMA-based framework that offers a range of NLP and visualization tools by means of a user-friendly GUI. Using TextImager requires no programming skills. |
| Tasks | Sentiment Analysis, Text Classification |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/C16-2013/ |
| https://www.aclweb.org/anthology/C16-2013 | |
| PWC | https://paperswithcode.com/paper/textimager-a-distributed-uima-based-system |
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Frustratingly Easy Cross-Lingual Transfer for Transition-Based Dependency Parsing
| Title | Frustratingly Easy Cross-Lingual Transfer for Transition-Based Dependency Parsing |
| Authors | Oph{'e}lie Lacroix, Lauriane Aufrant, Guillaume Wisniewski, Fran{\c{c}}ois Yvon |
| Abstract | |
| Tasks | Cross-Lingual Transfer, Dependency Parsing, Transition-Based Dependency Parsing |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/N16-1121/ |
| https://www.aclweb.org/anthology/N16-1121 | |
| PWC | https://paperswithcode.com/paper/frustratingly-easy-cross-lingual-transfer-for |
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Factoring Adjunction in Hierarchical Phrase-Based SMT
| Title | Factoring Adjunction in Hierarchical Phrase-Based SMT |
| Authors | Sophie Arnoult, Khalil Sima{'}an |
| Abstract | |
| Tasks | Machine Translation |
| Published | 2016-10-01 |
| URL | https://www.aclweb.org/anthology/W16-6402/ |
| https://www.aclweb.org/anthology/W16-6402 | |
| PWC | https://paperswithcode.com/paper/factoring-adjunction-in-hierarchical-phrase |
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Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation: Oral Papers
| Title | Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation: Oral Papers |
| Authors | |
| Abstract | |
| Tasks | |
| Published | 2016-10-01 |
| URL | https://www.aclweb.org/anthology/papers/Y/Y16/Y16-2000/ |
| https://www.aclweb.org/anthology/Y16-2000 | |
| PWC | https://paperswithcode.com/paper/proceedings-of-the-30th-pacific-asia-1 |
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Statistical Modeling of Creole Genesis
| Title | Statistical Modeling of Creole Genesis |
| Authors | Yugo Murawaki |
| Abstract | |
| Tasks | |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/N16-1158/ |
| https://www.aclweb.org/anthology/N16-1158 | |
| PWC | https://paperswithcode.com/paper/statistical-modeling-of-creole-genesis |
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Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation: Posters
| Title | Proceedings of the 30th Pacific Asia Conference on Language, Information and Computation: Posters |
| Authors | |
| Abstract | |
| Tasks | |
| Published | 2016-10-01 |
| URL | https://www.aclweb.org/anthology/papers/Y/Y16/Y16-3000/ |
| https://www.aclweb.org/anthology/Y16-3000 | |
| PWC | https://paperswithcode.com/paper/proceedings-of-the-30th-pacific-asia-2 |
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HistoryComparator: Interactive Across-Time Comparison in Document Archives
| Title | HistoryComparator: Interactive Across-Time Comparison in Document Archives |
| Authors | Adam Jatowt, Marc Bron |
| Abstract | Recent years have witnessed significant increase in the number of large scale digital collections of archival documents such as news articles, books, etc. Typically, users access these collections through searching or browsing. In this paper we investigate another way of accessing temporal collections - across-time comparison, i.e., comparing query-relevant information at different periods in the past. We propose an interactive framework called HistoryComparator for contrastively analyzing concepts in archival document collections at different time periods. |
| Tasks | Decision Making, Named Entity Recognition |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/C16-2018/ |
| https://www.aclweb.org/anthology/C16-2018 | |
| PWC | https://paperswithcode.com/paper/historycomparator-interactive-across-time |
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Deriving Morphological Analyzers from Example Inflections
| Title | Deriving Morphological Analyzers from Example Inflections |
| Authors | Markus Forsberg, Mans Hulden |
| Abstract | This paper presents a semi-automatic method to derive morphological analyzers from a limited number of example inflections suitable for languages with alphabetic writing systems. The system we present learns the inflectional behavior of morphological paradigms from examples and converts the learned paradigms into a finite-state transducer that is able to map inflected forms of previously unseen words into lemmas and corresponding morphosyntactic descriptions. We evaluate the system when provided with inflection tables for several languages collected from the Wiktionary. |
| Tasks | |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1410/ |
| https://www.aclweb.org/anthology/L16-1410 | |
| PWC | https://paperswithcode.com/paper/deriving-morphological-analyzers-from-example |
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A Customizable Editor for Text Simplification
| Title | A Customizable Editor for Text Simplification |
| Authors | John Lee, Wenlong Zhao, Wenxiu Xie |
| Abstract | We present a browser-based editor for simplifying English text. Given an input sentence, the editor performs both syntactic and lexical simplification. It splits a complex sentence into shorter ones, and suggests word substitutions in drop-down lists. The user can choose the best substitution from the list, undo any inappropriate splitting, and further edit the sentence as necessary. A significant novelty is that the system accepts a customized vocabulary list for a target reader population. It identifies all words in the text that do not belong to the list, and attempts to substitute them with words from the list, thus producing a text tailored for the targeted readers. |
| Tasks | Lexical Simplification, Text Simplification |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/C16-2020/ |
| https://www.aclweb.org/anthology/C16-2020 | |
| PWC | https://paperswithcode.com/paper/a-customizable-editor-for-text-simplification |
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Threshold Learning for Optimal Decision Making
| Title | Threshold Learning for Optimal Decision Making |
| Authors | Nathan F. Lepora |
| Abstract | Decision making under uncertainty is commonly modelled as a process of competitive stochastic evidence accumulation to threshold (the drift-diffusion model). However, it is unknown how animals learn these decision thresholds. We examine threshold learning by constructing a reward function that averages over many trials to Wald’s cost function that defines decision optimality. These rewards are highly stochastic and hence challenging to optimize, which we address in two ways: first, a simple two-factor reward-modulated learning rule derived from Williams’ REINFORCE method for neural networks; and second, Bayesian optimization of the reward function with a Gaussian process. Bayesian optimization converges in fewer trials than REINFORCE but is slower computationally with greater variance. The REINFORCE method is also a better model of acquisition behaviour in animals and a similar learning rule has been proposed for modelling basal ganglia function. |
| Tasks | Decision Making, Decision Making Under Uncertainty |
| Published | 2016-12-01 |
| URL | http://papers.nips.cc/paper/6494-threshold-learning-for-optimal-decision-making |
| http://papers.nips.cc/paper/6494-threshold-learning-for-optimal-decision-making.pdf | |
| PWC | https://paperswithcode.com/paper/threshold-learning-for-optimal-decision |
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Automatic label generation for news comment clusters
| Title | Automatic label generation for news comment clusters |
| Authors | Ahmet Aker, Monica Paramita, Emina Kurtic, Adam Funk, Emma Barker, Mark Hepple, Rob Gaizauskas |
| Abstract | |
| Tasks | Information Retrieval, Text Generation |
| Published | 2016-09-01 |
| URL | https://www.aclweb.org/anthology/W16-6610/ |
| https://www.aclweb.org/anthology/W16-6610 | |
| PWC | https://paperswithcode.com/paper/automatic-label-generation-for-news-comment |
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Understanding Discourse on Work and Job-Related Well-Being in Public Social Media
| Title | Understanding Discourse on Work and Job-Related Well-Being in Public Social Media |
| Authors | Tong Liu, Christopher Homan, Cecilia Ovesdotter Alm, Megan Lytle, Ann Marie White, Henry Kautz |
| Abstract | |
| Tasks | Active Learning |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/P16-1099/ |
| https://www.aclweb.org/anthology/P16-1099 | |
| PWC | https://paperswithcode.com/paper/understanding-discourse-on-work-and-job |
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Opinion Retrieval Systems using Tweet-external Factors
| Title | Opinion Retrieval Systems using Tweet-external Factors |
| Authors | Yoon-Sung Kim, Young-In Song, Hae-Chang Rim |
| Abstract | Opinion mining is a natural language processing technique which extracts subjective information from natural language text. To estimate an opinion about a query in large data collection, an opinion retrieval system that retrieves subjective and relevant information about the query can be useful. We present an opinion retrieval system that retrieves subjective and query-relevant tweets from Twitter, which is a useful source of obtaining real-time opinions. Our system outperforms previous opinion retrieval systems, and it further provides subjective information about Twitter authors and hashtags to describe their subjective tendencies. |
| Tasks | Opinion Mining, Sentiment Analysis |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/C16-2027/ |
| https://www.aclweb.org/anthology/C16-2027 | |
| PWC | https://paperswithcode.com/paper/opinion-retrieval-systems-using-tweet |
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