Paper Group NANR 26
UW-Stanford System Description for AESW 2016 Shared Task on Grammatical Error Detection. Automatic Enrichment of WordNet with Common-Sense Knowledge. Automatic Evaluation of Commonsense Knowledge for Refining Japanese ConceptNet. Proceedings of the INLG 2016 Workshop on Computational Creativity in Natural Language Generation. VPS-GradeUp: Graded De …
UW-Stanford System Description for AESW 2016 Shared Task on Grammatical Error Detection
| Title | UW-Stanford System Description for AESW 2016 Shared Task on Grammatical Error Detection |
| Authors | Dan Flickinger, Michael Goodman, Woodley Packard |
| Abstract | |
| Tasks | Grammatical Error Correction, Grammatical Error Detection |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/W16-0511/ |
| https://www.aclweb.org/anthology/W16-0511 | |
| PWC | https://paperswithcode.com/paper/uw-stanford-system-description-for-aesw-2016 |
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Automatic Enrichment of WordNet with Common-Sense Knowledge
| Title | Automatic Enrichment of WordNet with Common-Sense Knowledge |
| Authors | Luigi Di Caro, Guido Boella |
| Abstract | WordNet represents a cornerstone in the Computational Linguistics field, linking words to meanings (or senses) through a taxonomical representation of synsets, i.e., clusters of words with an equivalent meaning in a specific context often described by few definitions (or glosses) and examples. Most of the approaches to the Word Sense Disambiguation task fully rely on these short texts as a source of contextual information to match with the input text to disambiguate. This paper presents the first attempt to enrich synsets data with common-sense definitions, automatically retrieved from ConceptNet 5, and disambiguated accordingly to WordNet. The aim was to exploit the shared- and immediate-thinking nature of common-sense knowledge to extend the short but incredibly useful contextual information of the synsets. A manual evaluation on a subset of the entire result (which counts a total of almost 600K synset enrichments) shows a very high precision with an estimated good recall. |
| Tasks | Common Sense Reasoning, Word Sense Disambiguation |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1132/ |
| https://www.aclweb.org/anthology/L16-1132 | |
| PWC | https://paperswithcode.com/paper/automatic-enrichment-of-wordnet-with-common |
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Automatic Evaluation of Commonsense Knowledge for Refining Japanese ConceptNet
| Title | Automatic Evaluation of Commonsense Knowledge for Refining Japanese ConceptNet |
| Authors | Seiya Shudo, Rafal Rzepka, Kenji Araki |
| Abstract | In this paper we present two methods for automatic common sense knowledge evaluation for Japanese entries in ConceptNet ontology. Our proposed methods utilize text-mining approach: one with relation clue words and WordNet synonyms, and one without. Both methods were tested with a blog corpus. The system based on our proposed methods reached relatively high precision score for three relations (MadeOf, UsedFor, AtLocation), which is comparable with previous research using commercial search engines and simpler input. We analyze errors and discuss problems of common sense evaluation, both manual and automatic and propose ideas for further improvements. |
| Tasks | Common Sense Reasoning |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/W16-5413/ |
| https://www.aclweb.org/anthology/W16-5413 | |
| PWC | https://paperswithcode.com/paper/automatic-evaluation-of-commonsense-knowledge |
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Proceedings of the INLG 2016 Workshop on Computational Creativity in Natural Language Generation
| Title | Proceedings of the INLG 2016 Workshop on Computational Creativity in Natural Language Generation |
| Authors | |
| Abstract | |
| Tasks | Text Generation |
| Published | 2016-09-01 |
| URL | https://www.aclweb.org/anthology/W16-5500/ |
| https://www.aclweb.org/anthology/W16-5500 | |
| PWC | https://paperswithcode.com/paper/proceedings-of-the-inlg-2016-workshop-on |
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VPS-GradeUp: Graded Decisions on Usage Patterns
| Title | VPS-GradeUp: Graded Decisions on Usage Patterns |
| Authors | V{'\i}t Baisa, Silvie Cinkov{'a}, Ema Krej{\v{c}}ov{'a}, Anna Vernerov{'a} |
| Abstract | We present VPS-GradeUp ― a set of 11,400 graded human decisions on usage patterns of 29 English lexical verbs from the Pattern Dictionary of English Verbs by Patrick Hanks. The annotation contains, for each verb lemma, a batch of 50 concordances with the given lemma as KWIC, and for each of these concordances we provide a graded human decision on how well the individual PDEV patterns for this particular lemma illustrate the given concordance, indicated on a 7-point Likert scale for each PDEV pattern. With our annotation, we were pursuing a pilot investigation of the foundations of human clustering and disambiguation decisions with respect to usage patterns of verbs in context. The data set is publicly available at http://hdl.handle.net/11234/1-1585. |
| Tasks | |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1133/ |
| https://www.aclweb.org/anthology/L16-1133 | |
| PWC | https://paperswithcode.com/paper/vps-gradeup-graded-decisions-on-usage |
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Demographer: Extremely Simple Name Demographics
| Title | Demographer: Extremely Simple Name Demographics |
| Authors | Rebecca Knowles, Josh Carroll, Mark Dredze |
| Abstract | |
| Tasks | |
| Published | 2016-11-01 |
| URL | https://www.aclweb.org/anthology/W16-5614/ |
| https://www.aclweb.org/anthology/W16-5614 | |
| PWC | https://paperswithcode.com/paper/demographer-extremely-simple-name |
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Proceedings of the 2nd Workshop on Computing News Storylines (CNS 2016)
| Title | Proceedings of the 2nd Workshop on Computing News Storylines (CNS 2016) |
| Authors | |
| Abstract | |
| Tasks | |
| Published | 2016-11-01 |
| URL | https://www.aclweb.org/anthology/W16-5700/ |
| https://www.aclweb.org/anthology/W16-5700 | |
| PWC | https://paperswithcode.com/paper/proceedings-of-the-2nd-workshop-on-computing |
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Web Chat Conversations from Contact Centers: a Descriptive Study
| Title | Web Chat Conversations from Contact Centers: a Descriptive Study |
| Authors | G{'e}raldine Damnati, Aleks Guerraz, ra, Delphine Charlet |
| Abstract | In this article we propose a descriptive study of a chat conversations corpus from an assistance contact center. Conversations are described from several view points, including interaction analysis, language deviation analysis and typographic expressivity marks analysis. We provide in particular a detailed analysis of language deviations that are encountered in our corpus of 230 conversations, corresponding to 6879 messages and 76839 words. These deviations may be challenging for further syntactic and semantic parsing. Analysis is performed with a distinction between Customer messages and Agent messages. On the overall only 4{%} of the observed words are misspelled but 26{%} of the messages contain at least one erroneous word (rising to 40{%} when focused on Customer messages). Transcriptions of telephone conversations from an assistance call center are also studied, allowing comparisons between these two interaction modes to be drawn. The study reveals significant differences in terms of conversation flow, with an increased efficiency for chat conversations in spite of longer temporal span. |
| Tasks | Semantic Parsing |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1319/ |
| https://www.aclweb.org/anthology/L16-1319 | |
| PWC | https://paperswithcode.com/paper/web-chat-conversations-from-contact-centers-a |
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Call for Discussion: Building a New Standard Dataset for Relation Extraction Tasks
| Title | Call for Discussion: Building a New Standard Dataset for Relation Extraction Tasks |
| Authors | Teresa Martin, Fiete Botschen, Ajay Nagesh, Andrew McCallum |
| Abstract | |
| Tasks | Relation Extraction |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/W16-1317/ |
| https://www.aclweb.org/anthology/W16-1317 | |
| PWC | https://paperswithcode.com/paper/call-for-discussion-building-a-new-standard |
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Simple Tools for Exploring Variation in Code-switching for Linguists
| Title | Simple Tools for Exploring Variation in Code-switching for Linguists |
| Authors | Gualberto A. Guzman, Jacqueline Serigos, Barbara E. Bullock, Almeida Jacqueline Toribio |
| Abstract | |
| Tasks | Language Identification |
| Published | 2016-11-01 |
| URL | https://www.aclweb.org/anthology/W16-5802/ |
| https://www.aclweb.org/anthology/W16-5802 | |
| PWC | https://paperswithcode.com/paper/simple-tools-for-exploring-variation-in-code |
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A Reading Environment for Learners of Chinese as a Foreign Language
| Title | A Reading Environment for Learners of Chinese as a Foreign Language |
| Authors | John Lee, Chun Yin Lam, Shu Jiang |
| Abstract | We present a mobile app that provides a reading environment for learners of Chinese as a foreign language. The app includes a text database that offers over 500K articles from Chinese Wikipedia. These articles have been word-segmented; each word is linked to its entry in a Chinese-English dictionary, and to automatically-generated review exercises. The app estimates the reading proficiency of the user based on a {``}to-learn{''} list of vocabulary items. It automatically constructs and maintains this list by tracking the user{'}s dictionary lookup behavior and performance in review exercises. When a user searches for articles to read, search results are filtered such that the proportion of unknown words does not exceed a user-specified threshold. | |
| Tasks | Language Acquisition |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/C16-2003/ |
| https://www.aclweb.org/anthology/C16-2003 | |
| PWC | https://paperswithcode.com/paper/a-reading-environment-for-learners-of-chinese |
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NileULex: A Phrase and Word Level Sentiment Lexicon for Egyptian and Modern Standard Arabic
| Title | NileULex: A Phrase and Word Level Sentiment Lexicon for Egyptian and Modern Standard Arabic |
| Authors | Samhaa R. El-Beltagy |
| Abstract | This paper presents NileULex, which is an Arabic sentiment lexicon containing close to six thousands Arabic words and compound phrases. Forty five percent of the terms and expressions in the lexicon are Egyptian or colloquial while fifty five percent are Modern Standard Arabic. While the collection of many of the terms included in the lexicon was done automatically, the actual addition of any term was done manually. One of the important criterions for adding terms to the lexicon, was that they be as unambiguous as possible. The result is a lexicon with a much higher quality than any translated variant or automatically constructed one. To demonstrate that a lexicon such as this can directly impact the task of sentiment analysis, a very basic machine learning based sentiment analyser that uses unigrams, bigrams, and lexicon based features was applied on two different Twitter datasets. The obtained results were compared to a baseline system that only uses unigrams and bigrams. The same lexicon based features were also generated using a publicly available translation of a popular sentiment lexicon. The experiments show that usage of the developed lexicon improves the results over both the baseline and the publicly available lexicon. |
| Tasks | Sentiment Analysis |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1463/ |
| https://www.aclweb.org/anthology/L16-1463 | |
| PWC | https://paperswithcode.com/paper/nileulex-a-phrase-and-word-level-sentiment |
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Moving away from semantic overfitting in disambiguation datasets
| Title | Moving away from semantic overfitting in disambiguation datasets |
| Authors | Marten Postma, Filip Ilievski, Piek Vossen, Marieke van Erp |
| Abstract | |
| Tasks | |
| Published | 2016-11-01 |
| URL | https://www.aclweb.org/anthology/W16-6004/ |
| https://www.aclweb.org/anthology/W16-6004 | |
| PWC | https://paperswithcode.com/paper/moving-away-from-semantic-overfitting-in |
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Modeling Stance in Student Essays
| Title | Modeling Stance in Student Essays |
| Authors | Isaac Persing, Vincent Ng |
| Abstract | |
| Tasks | |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/P16-1205/ |
| https://www.aclweb.org/anthology/P16-1205 | |
| PWC | https://paperswithcode.com/paper/modeling-stance-in-student-essays |
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Timeline extraction using distant supervision and joint inference
| Title | Timeline extraction using distant supervision and joint inference |
| Authors | Savelie Cornegruta, Andreas Vlachos |
| Abstract | |
| Tasks | Temporal Information Extraction |
| Published | 2016-11-01 |
| URL | https://www.aclweb.org/anthology/D16-1200/ |
| https://www.aclweb.org/anthology/D16-1200 | |
| PWC | https://paperswithcode.com/paper/timeline-extraction-using-distant-supervision |
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