Paper Group NANR 101
Towards Using Conversations with Spoken Dialogue Systems in the Automated Assessment of Non-Native Speakers of English. Developing Corpus of Lecture Utterances Aligned to Slide Components. Training with Exploration Improves a Greedy Stack LSTM Parser. Unsupervised Learning of Prototypical Fillers for Implicit Semantic Role Labeling. Proceedings of …
Towards Using Conversations with Spoken Dialogue Systems in the Automated Assessment of Non-Native Speakers of English
| Title | Towards Using Conversations with Spoken Dialogue Systems in the Automated Assessment of Non-Native Speakers of English |
| Authors | Diane Litman, Steve Young, Mark Gales, Kate Knill, Karen Ottewell, Rogier van Dalen, V, David yke |
| Abstract | |
| Tasks | Spoken Dialogue Systems |
| Published | 2016-09-01 |
| URL | https://www.aclweb.org/anthology/W16-3635/ |
| https://www.aclweb.org/anthology/W16-3635 | |
| PWC | https://paperswithcode.com/paper/towards-using-conversations-with-spoken |
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Developing Corpus of Lecture Utterances Aligned to Slide Components
| Title | Developing Corpus of Lecture Utterances Aligned to Slide Components |
| Authors | Ryo Minamiguchi, Masatoshi Tsuchiya |
| Abstract | The approach which formulates the automatic text summarization as a maximum coverage problem with knapsack constraint over a set of textual units and a set of weighted conceptual units is promising. However, it is quite important and difficult to determine the appropriate granularity of conceptual units for this formulation. In order to resolve this problem, we are examining to use components of presentation slides as conceptual units to generate a summary of lecture utterances, instead of other possible conceptual units like base noun phrases or important nouns. This paper explains our developing corpus designed to evaluate our proposing approach, which consists of presentation slides and lecture utterances aligned to presentation slide components. |
| Tasks | Text Summarization |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/W16-5404/ |
| https://www.aclweb.org/anthology/W16-5404 | |
| PWC | https://paperswithcode.com/paper/developing-corpus-of-lecture-utterances |
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Training with Exploration Improves a Greedy Stack LSTM Parser
| Title | Training with Exploration Improves a Greedy Stack LSTM Parser |
| Authors | Miguel Ballesteros, Yoav Goldberg, Chris Dyer, Noah A. Smith |
| Abstract | |
| Tasks | |
| Published | 2016-11-01 |
| URL | https://www.aclweb.org/anthology/D16-1211/ |
| https://www.aclweb.org/anthology/D16-1211 | |
| PWC | https://paperswithcode.com/paper/training-with-exploration-improves-a-greedy-1 |
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Unsupervised Learning of Prototypical Fillers for Implicit Semantic Role Labeling
| Title | Unsupervised Learning of Prototypical Fillers for Implicit Semantic Role Labeling |
| Authors | Niko Schenk, Christian Chiarcos |
| Abstract | |
| Tasks | Feature Engineering, Natural Language Inference, Semantic Role Labeling, Text Summarization |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/N16-1173/ |
| https://www.aclweb.org/anthology/N16-1173 | |
| PWC | https://paperswithcode.com/paper/unsupervised-learning-of-prototypical-fillers |
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Proceedings of the Third Workshop on Argument Mining (ArgMining2016)
| Title | Proceedings of the Third Workshop on Argument Mining (ArgMining2016) |
| Authors | |
| Abstract | |
| Tasks | Argument Mining |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2800/ |
| https://www.aclweb.org/anthology/W16-2800 | |
| PWC | https://paperswithcode.com/paper/proceedings-of-the-third-workshop-on-argument |
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Towards Accurate and Efficient Chinese Part-of-Speech Tagging
| Title | Towards Accurate and Efficient Chinese Part-of-Speech Tagging |
| Authors | Weiwei Sun, Xiaojun Wan |
| Abstract | |
| Tasks | Part-Of-Speech Tagging, Word Sense Disambiguation |
| Published | 2016-09-01 |
| URL | https://www.aclweb.org/anthology/J16-3002/ |
| https://www.aclweb.org/anthology/J16-3002 | |
| PWC | https://paperswithcode.com/paper/towards-accurate-and-efficient-chinese-part |
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Recent Progress in Deep Learning for NLP
| Title | Recent Progress in Deep Learning for NLP |
| Authors | Zhengdong Lu, Hang Li |
| Abstract | |
| Tasks | Machine Translation, Question Answering, Text Generation |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/N16-4004/ |
| https://www.aclweb.org/anthology/N16-4004 | |
| PWC | https://paperswithcode.com/paper/recent-progress-in-deep-learning-for-nlp |
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Features for Generic Corpus Querying
| Title | Features for Generic Corpus Querying |
| Authors | Thomas Eckart, Christoph Kuras, Uwe Quasthoff |
| Abstract | The availability of large corpora for more and more languages enforces generic querying and standard interfaces. This development is especially relevant in the context of integrated research environments like CLARIN or DARIAH. The paper focuses on several applications and implementation details on the basis of a unified corpus format, a unique POS tag set, and prepared data for word similarities. All described data or applications are already or will be in the near future accessible via well-documented RESTful Web services. The target group are all kinds of interested persons with varying level of experience in programming or corpus query languages. |
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| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1444/ |
| https://www.aclweb.org/anthology/L16-1444 | |
| PWC | https://paperswithcode.com/paper/features-for-generic-corpus-querying |
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Early text classification: a Na"\ive solution
| Title | Early text classification: a Na"\ive solution |
| Authors | Hugo Jair Escalante, Manuel Montes y Gomez, Luis Villasenor, Marcelo Luis Errecalde |
| Abstract | |
| Tasks | Text Classification |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/W16-0416/ |
| https://www.aclweb.org/anthology/W16-0416 | |
| PWC | https://paperswithcode.com/paper/early-text-classification-a-naa-ve-solution |
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評估尺度相關最佳化方法於華語錯誤發音檢測之研究 (Evaluation Metric-related Optimization Methods for Mandarin Mispronunciation Detection) [In Chinese]
| Title | 評估尺度相關最佳化方法於華語錯誤發音檢測之研究 (Evaluation Metric-related Optimization Methods for Mandarin Mispronunciation Detection) [In Chinese] |
| Authors | Yao-Chi Hsu, Ming-Han Yang, Hsiao-Tsung Hung, Yi-Ju Lin, Kuan-Yu Chen, Berlin Chen |
| Abstract | |
| Tasks | |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/O16-3004/ |
| https://www.aclweb.org/anthology/O16-3004 | |
| PWC | https://paperswithcode.com/paper/ea14aoaoc-ea123a1314e-eae-eac14e3a-a1c-c |
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Sparse Non-negative Matrix Language Modeling
| Title | Sparse Non-negative Matrix Language Modeling |
| Authors | Joris Pelemans, Noam Shazeer, Ciprian Chelba |
| Abstract | We present Sparse Non-negative Matrix (SNM) estimation, a novel probability estimation technique for language modeling that can efficiently incorporate arbitrary features. We evaluate SNM language models on two corpora: the One Billion Word Benchmark and a subset of the LDC English Gigaword corpus. Results show that SNM language models trained with n-gram features are a close match for the well-established Kneser-Ney models. The addition of skip-gram features yields a model that is in the same league as the state-of-the-art recurrent neural network language models, as well as complementary: combining the two modeling techniques yields the best known result on the One Billion Word Benchmark. On the Gigaword corpus further improvements are observed using features that cross sentence boundaries. The computational advantages of SNM estimation over both maximum entropy and neural network estimation are probably its main strength, promising an approach that has large flexibility in combining arbitrary features and yet scales gracefully to large amounts of data. |
| Tasks | Language Modelling, Speech Recognition |
| Published | 2016-01-01 |
| URL | https://www.aclweb.org/anthology/Q16-1024/ |
| https://www.aclweb.org/anthology/Q16-1024 | |
| PWC | https://paperswithcode.com/paper/sparse-non-negative-matrix-language-modeling |
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Towards Early Dementia Detection: Fusing Linguistic and Non-Linguistic Clinical Data
| Title | Towards Early Dementia Detection: Fusing Linguistic and Non-Linguistic Clinical Data |
| Authors | Joseph Bullard, Cecilia Ovesdotter Alm, Xumin Liu, Qi Yu, Rub{'e}n Proa{~n}o |
| Abstract | |
| Tasks | Decision Making |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/W16-0302/ |
| https://www.aclweb.org/anthology/W16-0302 | |
| PWC | https://paperswithcode.com/paper/towards-early-dementia-detection-fusing |
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``A Distorted Skull Lies in the Bottom Center…’’ Identifying Paintings from Text Descriptions
| Title | ``A Distorted Skull Lies in the Bottom Center…’’ Identifying Paintings from Text Descriptions | |
| Authors | Anupam Guha, Mohit Iyyer, Jordan Boyd-Graber |
| Abstract | |
| Tasks | Question Answering, Visual Question Answering |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/W16-0107/ |
| https://www.aclweb.org/anthology/W16-0107 | |
| PWC | https://paperswithcode.com/paper/a-distorted-skull-lies-in-the-bottom-center |
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LELIO: An Auto-Adaptative System to Acquire Domain Lexical Knowledge in Technical Texts
| Title | LELIO: An Auto-Adaptative System to Acquire Domain Lexical Knowledge in Technical Texts |
| Authors | Patrick Saint-Dizier |
| Abstract | In this paper, we investigate some language acquisition facets of an auto-adaptative system that can automatically acquire most of the relevant lexical knowledge and authoring practices for an application in a given domain. This is the LELIO project: producing customized LELIE solutions. Our goal, within the framework of LELIE (a system that tags language uses that do not follow the Constrained Natural Language principles), is to automate the long, costly and error prone lexical customization of LELIE to a given application domain. Technical texts being relatively restricted in terms of syntax and lexicon, results obtained show that this approach is feasible and relatively reliable. By auto-adaptative, we mean that the system learns from a sample of the application corpus the various lexical terms and uses crucial for LELIE to work properly (e.g. verb uses, fuzzy terms, business terms, stylistic patterns). A technical writer validation method is developed at each step of the acquisition. |
| Tasks | Language Acquisition |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1213/ |
| https://www.aclweb.org/anthology/L16-1213 | |
| PWC | https://paperswithcode.com/paper/lelio-an-auto-adaptative-system-to-acquire |
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Is Sentiment in Movies the Same as Sentiment in Psychotherapy? Comparisons Using a New Psychotherapy Sentiment Database
| Title | Is Sentiment in Movies the Same as Sentiment in Psychotherapy? Comparisons Using a New Psychotherapy Sentiment Database |
| Authors | Michael Tanana, Aaron Dembe, Christina S. Soma, Zac Imel, David Atkins, Vivek Srikumar |
| Abstract | |
| Tasks | Decision Making, Sentiment Analysis |
| Published | 2016-06-01 |
| URL | https://www.aclweb.org/anthology/W16-0304/ |
| https://www.aclweb.org/anthology/W16-0304 | |
| PWC | https://paperswithcode.com/paper/is-sentiment-in-movies-the-same-as-sentiment |
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