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SemEval-2010 Task 5 : Automatic Keyphrase Extraction from Scientific Articles
TLDR
The participating systems were evaluated by matching their extracted keyphrases against manually assigned ones and the overall ranking of the submitted systems is presented. Expand
SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals
TLDR
A new task is introduced, which will be part of SemEval-2010: multi-way classification of mutually exclusive semantic relations between pairs of common nominals. Expand
SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations between Pairs of Nominals
TLDR
This paper defines the task, describes the training and test data and the process of their creation, lists the participating systems (10 teams, 28 runs), and discusses their results. Expand
Automatic classification of sentences to support Evidence Based Medicine
TLDR
Of the features used, the best for classifying any given sentence in an abstract were based on unigrams, section headings, and sequential information from preceding sentences, which resulted in improved performance over a simple bag-of-words approach, and outperformed feature sets used in previous work. Expand
Multiword Expressions
TLDR
Modern Australian politicians drive me up the wall and it's time to up stumps and move on. Expand
Automatic keyphrase extraction from scientific articles
TLDR
The task is outlined, the overall ranking of the submitted systems is presented, and the improvements to the state-of-the-art in keyphrase extraction are discussed. Expand
Automatic Interpretation of Noun Compounds Using WordNet Similarity
TLDR
The paper introduces a method for interpreting novel noun compounds with semantic relations built around word similarity with pre-tagged noun compounds, based on WordNet::Similarity, which was able to correctly classify 53.3% of the test noun compounds. Expand
Classifying Dialogue Acts in One-on-One Live Chats
TLDR
The task of automatically classifying dialogue acts in 1-on-1 online chat forums, an increasingly popular means of providing customer service, is explored, finding that adding information from dialogue structure and inter-utterance dependency provides some increase in performance. Expand
Tagging and Linking Web Forum Posts
TLDR
A method for annotating post-to-post discourse structure in online user forum data, in the hopes of improving troubleshooting-oriented information access, achieves above-baseline results for both dialogue act and link classification. Expand
Predicting Thread Discourse Structure over Technical Web Forums
TLDR
Three methods, including a dependency parsing approach, are proposed to jointly classify the links (relationships) between posts and the dialogue act (type) of each link in web forum threads to determine the labelled dependencies between posts. Expand
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