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COLING 2010 Debrief

COLING 2010 Debrief. Cong Duy Vu HOANG. Conference Organization. Generally good. Reception is very good (foods & performance) but free . Banquet is really bad (poor foods & no performance), but pricey with 600 RMB (~60 SGD). Tour.

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COLING 2010 Debrief

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  1. COLING 2010 Debrief Cong Duy Vu HOANG

  2. Conference Organization • Generally good. • Reception is very good (foods & performance) but free . • Banquet is really bad (poor foods & no performance), but pricey with 600 RMB (~60 SGD).

  3. Tour • Visited a lot of places: Great Wall, Forbidden City, Summer Palace, Lama Temple, Tiananmen Square, Royal Tombs, Bird’s Net Stadium, … • Had a lot of kinds of foods in Beijing :D • Beijing Roasted Duck • BBQ & Hotspots • …

  4. Conference sessions

  5. My poster presentation • Self-assess: good enough, quite a lot of people come and ask me about it • Prof. Dan Jurafsky (Stanford Univ.), Tomek Strzalkowski (State Univ. of New York), Cecile Paris (CSIRO ICT Centre), Minlie Huang(Tsinghua Univ.), …

  6. Papers of interest • Topic: analyzing & processing scientific texts • Learning to Annotate Scientific Publications (Minlie Huang) • Aim: to annotate scientific publications with key words and phrases, leveraging manual annotations • Task: • Input: a target document • Output: a set of key words and phrases for that document • Steps: 1) retrieve relevant docs (in db) for input doc 2) get initial list of annotated entries from them 2) rank to annotate for target doc • Data: 2 million documents from PubMed

  7. Papers of interest may be applied to ForeCiteNote • Topic: analyzing & processing scientific texts • Towards Automatic Building of Document Keywords (Joaquim Silva et al.) • Aim: similar with previous paper (Learning …), but not leveraging manual annotations • Method: • A language-independent approach • N-gram and statistics – based approach to extract MWE as keywords • Data: news articles, but not clear about the domain, statistics 

  8. Papers of interest • Topic: analyzing & processing scientific texts • Unsupervised Synthesis of Multilingual Wikipedia Articles • Aim: to automatically synthesize Wikipedia articles in multiple languages • Task: • Input: a Wikipedia article in a language (e.g. English) • Output: a generated article in another language (e.g. Chinese) • Method: • Extract and translate keywords from input doc • Query the web for translated keywords  candidate excerpts • Rank excerpts to output

  9. Papers of interest • Topic: summarization & generation • Multi-Document Summarization via the Minimum Dominating Set (MDS) (Chao Sen et al.) • a unique framework for different summarization problems (generic, query, update, comparative, …) • Based on a well-known algorithm (MDS), but I am not clear about the motivation that why they can think about using MDS for summarization. • Obtained comparative evaluation results in compared to state-of-the-art methods in DUC data

  10. Papers of interest • Topic: summarization & generation • Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions (Kavita Ganesan et al.) • Motivation: • structured format of reviews not enough • reviews with many redundant sentences • Opinosios - a “shallow” abstractive summarization based on graph representation + heuristics. • No statistics on the corpus used .

  11. Papers of interest • Topic: information extraction • An Empirical Study on Web Mining of Parallel Data • Robust Measurement and Comparison of Context Similarity for Finding Translation Pairs • Mining Large-scale Comparable Corpora from Chinese-English News Collections • An Ontology-driven System for Detecting Global Health Events (Collier N. et al.) • Detection of Simple Plagiarism in Computer Science Papers Aobo Min

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