Papers by Amir Menczel
From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion (P19-1)
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Roy Bar-Haim, Dalia Krieger, Orith Toledo-Ronen, Lilach Edelstein, Yonatan Bilu, Alon Halfon, Yoav Katz, Amir Menczel, Ranit Aharonov, Noam Slonim
| Challenge: | Recent advances in argumentation mining have left much of the relevant argumentative content out of reach. |
| Approach: | They propose a task of Debate Topic Expansion to find related topics for a given debate topic, along with an annotated dataset for the task. |
| Outcome: | The proposed algorithms differ from well-studied lexical-semantic relations and show they work well in argumentation mining. |
Learning Sentiment Composition from Sentiment Lexicons (C18-1)
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Orith Toledo-Ronen, Roy Bar-Haim, Alon Halfon, Charles Jochim, Amir Menczel, Ranit Aharonov, Noam Slonim
| Challenge: | Sentiment composition is a fundamental problem in sentiment analysis. |
| Approach: | They propose a method for learning sentiment composition from a large, unlabeled corpus . they automatically generate large sentiment lexicons of bigrams and unigrams . |
| Outcome: | The proposed approach is validated through manual annotation and sentiment classification experiments with phrase-level and sentence-level benchmarks. |