Paper Group NANR 99
Evaluation of Medical Concept Annotation Systems on Clinical Records. Identification and Overidentification of Linear Structural Equation Models. The Role of Features and Context on Suicide Ideation Detection. Pairwise FastText Classifier for Entity Disambiguation. Using collocational features to improve automated scoring of EFL texts. Port4NooJ v3 …
Evaluation of Medical Concept Annotation Systems on Clinical Records
| Title | Evaluation of Medical Concept Annotation Systems on Clinical Records |
| Authors | Hamed Hassanzadeh, Anthony Nguyen, Bevan Koopman |
| Abstract | |
| Tasks | Information Retrieval |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/U16-1002/ |
| https://www.aclweb.org/anthology/U16-1002 | |
| PWC | https://paperswithcode.com/paper/evaluation-of-medical-concept-annotation |
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Identification and Overidentification of Linear Structural Equation Models
| Title | Identification and Overidentification of Linear Structural Equation Models |
| Authors | Bryant Chen |
| Abstract | In this paper, we address the problems of identifying linear structural equation models and discovering the constraints they imply. We first extend the half-trek criterion to cover a broader class of models and apply our extension to finding testable constraints implied by the model. We then show that any semi-Markovian linear model can be recursively decomposed into simpler sub-models, resulting in improved identification and constraint discovery power. Finally, we show that, unlike the existing methods developed for linear models, the resulting method subsumes the identification and constraint discovery algorithms for non-parametric models. |
| Tasks | |
| Published | 2016-12-01 |
| URL | http://papers.nips.cc/paper/6223-identification-and-overidentification-of-linear-structural-equation-models |
| http://papers.nips.cc/paper/6223-identification-and-overidentification-of-linear-structural-equation-models.pdf | |
| PWC | https://paperswithcode.com/paper/identification-and-overidentification-of |
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The Role of Features and Context on Suicide Ideation Detection
| Title | The Role of Features and Context on Suicide Ideation Detection |
| Authors | Yufei Wang, Stephen Wan, C{'e}cile Paris |
| Abstract | |
| Tasks | Text Classification |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/U16-1010/ |
| https://www.aclweb.org/anthology/U16-1010 | |
| PWC | https://paperswithcode.com/paper/the-role-of-features-and-context-on-suicide |
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Pairwise FastText Classifier for Entity Disambiguation
| Title | Pairwise FastText Classifier for Entity Disambiguation |
| Authors | Cheng Yu, Bing Chu, Rohit Ram, James Aichinger, Lizhen Qu, Hanna Suominen |
| Abstract | |
| Tasks | Entity Disambiguation, Network Embedding, Text Classification |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/U16-1023/ |
| https://www.aclweb.org/anthology/U16-1023 | |
| PWC | https://paperswithcode.com/paper/pairwise-fasttext-classifier-for-entity |
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Using collocational features to improve automated scoring of EFL texts
| Title | Using collocational features to improve automated scoring of EFL texts |
| Authors | Yves Bestgen |
| Abstract | |
| Tasks | |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-1813/ |
| https://www.aclweb.org/anthology/W16-1813 | |
| PWC | https://paperswithcode.com/paper/using-collocational-features-to-improve |
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Port4NooJ v3.0: Integrated Linguistic Resources for Portuguese NLP
| Title | Port4NooJ v3.0: Integrated Linguistic Resources for Portuguese NLP |
| Authors | Cristina Mota, Paula Carvalho, Anabela Barreiro |
| Abstract | This paper introduces Port4NooJ v3.0, the latest version of the Portuguese module for NooJ, highlights its main features, and details its three main new components: (i) a lexicon-grammar based dictionary of 5,177 human intransitive adjectives, and a set of local grammars that use the distributional properties of those adjectives for paraphrasing (ii) a polarity dictionary with 9,031 entries for sentiment analysis, and (iii) a set of priority dictionaries and local grammars for named entity recognition. These new components were derived and/or adapted from publicly available resources. The Port4NooJ v3.0 resource is innovative in terms of the specificity of the linguistic knowledge it incorporates. The dictionary is bilingual Portuguese-English, and the semantico-syntactic information assigned to each entry validates the linguistic relation between the terms in both languages. These characteristics, which cannot be found in any other public resource for Portuguese, make it a valuable resource for translation and paraphrasing. The paper presents the current statistics and describes the different complementary and synergic components and integration efforts. |
| Tasks | Named Entity Recognition, Sentiment Analysis |
| Published | 2016-05-01 |
| URL | https://www.aclweb.org/anthology/L16-1201/ |
| https://www.aclweb.org/anthology/L16-1201 | |
| PWC | https://paperswithcode.com/paper/port4nooj-v30-integrated-linguistic-resources |
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Disentangling Topic Models: A Cross-cultural Analysis of Personal Values through Words
| Title | Disentangling Topic Models: A Cross-cultural Analysis of Personal Values through Words |
| Authors | Steven Wilson, Rada Mihalcea, Ryan Boyd, James Pennebaker |
| Abstract | |
| Tasks | Dimensionality Reduction, Document Classification, Topic Models |
| Published | 2016-11-01 |
| URL | https://www.aclweb.org/anthology/W16-5619/ |
| https://www.aclweb.org/anthology/W16-5619 | |
| PWC | https://paperswithcode.com/paper/disentangling-topic-models-a-cross-cultural |
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Borrow a Little from your Rich Cousin: Using Embeddings and Polarities of English Words for Multilingual Sentiment Classification
| Title | Borrow a Little from your Rich Cousin: Using Embeddings and Polarities of English Words for Multilingual Sentiment Classification |
| Authors | Prerana Singhal, Pushpak Bhattacharyya |
| Abstract | In this paper, we provide a solution to multilingual sentiment classification using deep learning. Given input text in a language, we use word translation into English and then the embeddings of these English words to train a classifier. This projection into the English space plus word embeddings gives a simple and uniform framework for multilingual sentiment analysis. A novel idea is augmentation of the training data with polar words, appearing in these sentences, along with their polarities. This approach leads to a performance gain of 7-10{%} over traditional classifiers on many languages, irrespective of text genre, despite the scarcity of resources in most languages. |
| Tasks | Feature Engineering, Machine Translation, Sentence Classification, Sentiment Analysis, Speech Recognition, Word Embeddings |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/C16-1287/ |
| https://www.aclweb.org/anthology/C16-1287 | |
| PWC | https://paperswithcode.com/paper/borrow-a-little-from-your-rich-cousin-using |
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HPI Question Answering System in BioASQ 2016
| Title | HPI Question Answering System in BioASQ 2016 |
| Authors | Frederik Schulze, Ricarda Sch{"u}ler, Tim Draeger, Daniel Dummer, Alex Ernst, er, Pedro Flemming, Cindy Perscheid, Mariana Neves |
| Abstract | |
| Tasks | Question Answering |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-3105/ |
| https://www.aclweb.org/anthology/W16-3105 | |
| PWC | https://paperswithcode.com/paper/hpi-question-answering-system-in-bioasq-2016 |
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Learning cascaded latent variable models for biomedical text classification
| Title | Learning cascaded latent variable models for biomedical text classification |
| Authors | Ming Liu, Gholamreza Haffari, Wray Buntine |
| Abstract | |
| Tasks | Latent Variable Models, Sentiment Analysis, Text Classification |
| Published | 2016-12-01 |
| URL | https://www.aclweb.org/anthology/U16-1014/ |
| https://www.aclweb.org/anthology/U16-1014 | |
| PWC | https://paperswithcode.com/paper/learning-cascaded-latent-variable-models-for |
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Generating sets of related sentences from input seed features
| Title | Generating sets of related sentences from input seed features |
| Authors | Cristina Barros, Elena Lloret |
| Abstract | |
| Tasks | Machine Translation, Speech Recognition, Text Generation |
| Published | 2016-09-01 |
| URL | https://www.aclweb.org/anthology/W16-3501/ |
| https://www.aclweb.org/anthology/W16-3501 | |
| PWC | https://paperswithcode.com/paper/generating-sets-of-related-sentences-from |
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Old Swedish Part-of-Speech Tagging between Variation and External Knowledge
| Title | Old Swedish Part-of-Speech Tagging between Variation and External Knowledge |
| Authors | Yvonne Adesam, Gerlof Bouma |
| Abstract | |
| Tasks | Morphological Tagging, Part-Of-Speech Tagging |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2104/ |
| https://www.aclweb.org/anthology/W16-2104 | |
| PWC | https://paperswithcode.com/paper/old-swedish-part-of-speech-tagging-between |
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Towards a text analysis system for political debates
| Title | Towards a text analysis system for political debates |
| Authors | Dieu-Thu Le, Ngoc Thang Vu, Andre Blessing |
| Abstract | |
| Tasks | Time Series, Time Series Analysis |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2117/ |
| https://www.aclweb.org/anthology/W16-2117 | |
| PWC | https://paperswithcode.com/paper/towards-a-text-analysis-system-for-political |
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Fast semantic segmentation of 3d point clouds with strongly varying density
| Title | Fast semantic segmentation of 3d point clouds with strongly varying density |
| Authors | Timo Hackel, Jan D. Wegner, Konrad Schindler |
| Abstract | We describe an effective and efficient method for point-wise semantic classification of 3D point clouds. The method can handle unstructured and inhomogeneous point clouds such as those derived from static terrestrial LiDAR or photogrammetric reconstruction; and it is computationally efficient, making it possible to process point clouds with many millions of points in a matter of minutes. The key issue, both to cope with strong variations in point density and to bring down computation time, turns out to be careful handling of neighborhood relations. By choosing appropriate definitions of a point’s (multi-scale) neighborhood, we obtain a feature set that is both expressive and fast to compute. We evaluate our classification method both on benchmark data from a mobile mapping platform and on a variety of large, terrestrial laser scans with greatly varying point density. The proposed feature set outperforms the state of the art with respect to per-point classification accuracy, while at the same time being much faster to compute. |
| Tasks | Semantic Segmentation |
| Published | 2016-03-07 |
| URL | https://www.ethz.ch/content/dam/ethz/special-interest/baug/igp/photogrammetry-remote-sensing-dam/documents/pdf/timo-jan-isprs2016.pdf |
| https://www.ethz.ch/content/dam/ethz/special-interest/baug/igp/photogrammetry-remote-sensing-dam/documents/pdf/timo-jan-isprs2016.pdf | |
| PWC | https://paperswithcode.com/paper/fast-semantic-segmentation-of-3d-point-clouds |
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Disambiguation of entities in MEDLINE abstracts by combining MeSH terms with knowledge
| Title | Disambiguation of entities in MEDLINE abstracts by combining MeSH terms with knowledge |
| Authors | Amy Siu, Patrick Ernst, Gerhard Weikum |
| Abstract | |
| Tasks | |
| Published | 2016-08-01 |
| URL | https://www.aclweb.org/anthology/W16-2909/ |
| https://www.aclweb.org/anthology/W16-2909 | |
| PWC | https://paperswithcode.com/paper/disambiguation-of-entities-in-medline |
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