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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 16 of 16 1 Neuro-symbolic Natural Logic with Introspective Revision for Natural Language Inference Yufei Feng; Xiaoyu Yang; Xiaodan Zhu... In: Transactions of the Association for Computational Linguistics, Vol 10, Pp 240-256 (2022) (2022) BASE Show details 2 Sentiment Analysis of Short Informal Texts Svetlana Kiritchenko; Xiaodan Zhu; Saif M Mohammad In: http://saifmohammad.com/WebDocs/NRC-Sentiment-JAIR-2014.pdf (2014) Abstract: Abstract We describe a state-of-the-art sentiment analysis system that detects (a) the sentiment of short informal textual messages such as tweets and SMS (message-level task) and (b) the sentiment of a word or a phrase within a message (term-level task). The system is based on a supervised statistical text classification approach leveraging a variety of surfaceform, semantic, and sentiment features. The sentiment features are primarily derived from novel high-coverage tweet-specific sentiment lexicons. These lexicons are automatically generated from tweets with sentiment-word hashtags and from tweets with emoticons. To adequately capture the sentiment of words in negated contexts, a separate sentiment lexicon is generated for negated words. The system ranked first in the SemEval-2013 shared task 'Sentiment Analysis in Twitter' (Task 2), obtaining an F-score of 69.02 in the message-level task and 88.93 in the term-level task. Post-competition improvements boost the performance to an F-score of 70.45 (message-level task) and 89.50 (term-level task). The system also obtains state-ofthe-art performance on two additional datasets: the SemEval-2013 SMS test set and a corpus of movie review excerpts. The ablation experiments demonstrate that the use of the automatically generated lexicons results in performance gains of up to 6.5 absolute percentage points. URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1053.8746 http://saifmohammad.com/WebDocs/NRC-Sentiment-JAIR-2014.pdf BASE Hide details 3 NRC-Canada-2014: Recent improvements in sentiment analysis of tweets, in: Xiaodan Zhu; Svetlana Kiritchenko; Saif M Mohammad In: http://www.cs.toronto.edu/%7Exzhu/SemEval2014_NRC_t9.pdf (2014) BASE Show details 4 NRC-Canada-2014: Recent improvements in sentiment analysis of tweets, in: Xiaodan Zhu; Svetlana Kiritchenko; Saif M Mohammad In: http://saifmohammad.com/WebDocs/SemEval2014-Task9.pdf (2014) BASE Show details 5 NRCCanada: Building the State-of-the-Art in Sentiment Analysis of Tweets Saif M. Mohammad; Svetlana Kiritchenko; Xiaodan Zhu In: http://www.aclweb.org/anthology/S/S13/S13-2053.pdf (2013) BASE Show details 6 Prior derivation models for formally syntax-based translation using linguistically syntactic parsing and tree kernels Bowen Zhou; Xiaodan Zhu; Bing Xiang... In: http://aclweb.org/anthology-new/W/W08/W08-0403.pdf (2008) BASE Show details 7 Utterance-level extractive summarization of open-domain spontaneous conversations with rich features Xiaodan Zhu; Gerald Penn In: http://www.cecs.uci.edu/~papers/icme06/pdfs/0000793.pdf (2006) BASE Show details 8 Summarization of spontaneous conversations Xiaodan Zhu; Gerald Penn In: http://www.cs.toronto.edu/%7Egpenn/papers/zhu-penn-cscw06.pdf (2006) BASE Show details 9 Analysis of polarity information in medical text Yun Niu; Xiaodan Zhu; Jianhua Li... In: http://ftp.cs.toronto.edu/pub/gh/Niu-etal-2005.pdf (2005) BASE Show details 10 Analysis of polarity information in medical text Yun Niu; Xiaodan Zhu; Jianhua Li... In: http://www.cs.toronto.edu/~yun/papers/Niu_amia05.pdf (2005) BASE Show details 11 Single Character Chinese Named Entity Recognition Xiaodan Zhu Mu; Mu Li; Jianfeng Gao... In: http://acl.ldc.upenn.edu/acl2003/sighan/pdf/Zhu.pdf (2003) BASE Show details 12 Single Character Chinese Named Entity Recognition Xiaodan Zhu Mu; Mu Li; Jianfeng Gao... In: http://acl.ldc.upenn.edu/acl2003/sighan/pdfs/Zhu.pdf (2003) BASE Show details 13 Sentiment, Emotion, Purpose, and Style in Electoral Tweets Saif M Mohammad; Xiaodan Zhu; Svetlana Kiritchenko... In: http://saifmohammad.com/WebDocs/tweetSentiment.pdf BASE Show details 14 Prior derivation models for formally syntax-based translation using linguistically syntactic parsing and tree kernels Bowen Zhou; Bing Xiang; Xiaodan Zhu... In: http://www.mt-archive.info/ACL-SSST-2008-Zhou.pdf BASE Show details 15 Summarizing multiple spoken documents: finding evidence from untranscribed audio Xiaodan Zhu; Gerald Penn; Frank Rudzicz In: http://aclweb.org/anthology-new/P/P09/P09-1062.pdf BASE Show details 16 Ecological Validity and the Evaluation of Speech Summarization Quality Anthony Mccallum; Cosmin Munteanu; Gerald Penn... In: http://www.aclweb.org/anthology/W/W12/W12-2604.pdf BASE Show details

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