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Siddharth Patwardhan

Siddharth Patwardhan has 4 papers in our library, in 2005–2016, most of them on Information extraction; often with Ellen Riloff, Claire Cardie, Yejin Choi.

4 papers in our library · 2005–2016

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📄 4 works in our library · 🔗 Cited 252 times in our library · ⭐ Paper Stars ranking: #2485

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksArts and Humanities · 4 worksComputer Science · 4 worksLanguage and Linguistics · 4 worksPhysics and Astronomy · 1 workStatistical and Nonlinear Physics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Information extraction · 1 work

 Works by year

2010s

20161 paperThe Role of Context Types and Dimensionality in Learning Word Embeddings

2000s

20091 paperA Unified Model of Phrasal and Sentential Evidence for Information Extraction20052 papersSiddharth Patwardhan's papers of 2005

 Papers

The most cited first (OpenAlex and our library).

  1. Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns (2005 · 436 citations)
    The paper addresses automatically finding the source of an opinion: the person or entity holding or expressing a sentiment, belief or emotion in text.
  2. A Unified Model of Phrasal and Sentential Evidence for Information Extraction (2009 · 180 citations)
    Event-oriented information extraction systems usually judge a candidate noun phrase by its immediate surroundings.
  3. The Role of Context Types and Dimensionality in Learning Word Embeddings (2016 · 144 citations)
    Skip-gram embeddings are usually trained on fixed-size word windows. This paper asks how the choice of context, together with vector size, affects results across many tasks. The authors trained all models on one shared English corpus of roughly 10B words, built from Wikipedia 2015, UMBC and Gigaword and parsed with…
  4. OpinionFinder: A System for Subjectivity Analysis (2005 · 78 citations)
    OpinionFinder is a demonstration system that automatically detects subjective language in English text, meaning opinions, emotions, speculations and other private states.

 Co-authors here

10 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 252 times (of the 141,840 papers whose bibliographies we read); 26 citing papers with a page here →.

Updated

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