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Publication: TIPSTER (2004)

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This paper describes an empirical study of the “In- formation Synthesis” task, defined as the process of (given a complex information need) extracting, or- ganizing and inter-relating the pieces of …...

36870

QARLA: A Framework for the Evaluation of Text Summarization Systems

Authors: nan

Publication: TIPSTER (2005)

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This paper presents a probabilistic framework, QARLA, for the evaluation of text summarisation systems. The in- put of the framework is a set of man- ual (reference) summaries, a set …...

36619

Build Chinese Emotion Lexicons Using A Graph-based Algorithm and Multiple Resources

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Publication: TIPSTER (2010)

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For sentiment analysis, lexicons play an important role in many related tasks. In this paper, aiming to build Chinese emo- tion lexicons for public use, we adopted a graph-based algorithm …...

6215

Harnessing WordNet Senses for Supervised Sentiment Classification

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Traditional approaches to sentiment classifica- tion rely on lexical features, syntax-based fea- tures or a combination of the two. We pro- pose semantic features using word senses for a supervised …...

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Associative and Semantic Features Extracted From Web-Harvested Corpora

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AbstractWe address the problem of automatic classification of associative and semantic relations between words, and particularly those that hold between nouns. Lexical relations such as synonymy, hypernymy/hyponymy, constitute the fundamental …...

13705

EMNLP versus ACL: Analyzing NLP research over time

Authors: nan

Publication: TIPSTER (2015)

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The conferences ACL (Association for Computational Linguistics) and EMNLP (Empirical Methods in Natural Language Processing) rank among the premier venues that track the research develop- ments in Natural Language Processing …...

34355

Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks

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Modeling sentence similarity is compli- cated by the ambiguity and variability of linguistic expression. To cope with these challenges, we propose a model for com- paring sentences that uses a …...

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Similarity Metrics for Clustering PubMed Abstracts for Evidence Based Medicine

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s for Evidence Based Medicine Hamed Hassanzadeh† Diego Moll´a♦ Tudor Groza‡ Anthony Nguyen♮ Jane Hunter† †School of ITEE, The University of Queensland, Brisbane, QLD, Australia ♦Department of Computing, Macquarie University, …...

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Effects of Creativity and Cluster Tightness on Short Text Clustering Performance

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Properties of corpora, such as the diver- sity of vocabulary and how tightly related texts cluster together, impact the best way to cluster short texts. We examine several such properties …...

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AbstractPOS tagging and dependency parsing achieve good results for homogeneous datasets. However, these tasks are much more difficult on heterogeneous datasets. In (Mukherjee et al. 2016, 2017), we address this …...

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AbstractConversational AI systems are gaining a lot of attention recently in both industrial and scientific domains, providing a natural way of interaction between customers and adaptive intelligent systems. A key …...

41684

Recommendation Chart of Domains for Cross-Domain Sentiment Analysis: Findings of A 20 Domain Study

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Evaluate AMR Graph Similarity via Self-supervised Learning

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AbstractIn work on AMR (Abstract Meaning Representation), similarity metrics are crucial as they are used to evaluate AMR systems such as AMR parsers. Current AMR metrics are all based on …...

37526