Natural Language Understanding
By Anna Maria Di Sciullo. 2009
577 citations recorded by the source corpus.
Subfields: Artificial Intelligence
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Yejin Choi
- Ellie Pavlick
- Benjamin Van Durme
- Mohit Bansal
- Dan Roth
- Rachel Rudinger
- Yonatan Belinkov
- Aaron Steven White
Citations in the corpus
- Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize (2018, background): “This includes but is not limited to intent, dialog act, topic, named entities and user sentiment (Allen 1995).”
- Conversational Agents and Natural Language Interaction: Techniques and Effective Practices (2011, methodology): “Speech act interpretation (Allen, 1995, Chapter 17; Cohen & Perrault, 1979; Core & Allen, 1997; Allen et al., 2007) and conversational games (Kowtko et al., 1993; Pulman, 2002), discourse structure (Grosz & Sidner, 1986; Stent et al., 1999; Fischer et al., 1994) and prosody manipulation (Hirschberg…”
- Towards Understanding Situated Natural Language (2010, unknown): “(Allen, 1995), to co-reference resolution (Soon et al.”
- Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation (2018, background): “There exist more semantic phenomena integral to NLU (Allen, 1995) and we plan to include them in future versions of the DNC.”
- Classifying Sentences as Speech Acts in Message Board Posts (2011, methodology): “To recognize tense, we followed the rules defined by Allen (1995).”
- Extracting Information from Textual Documents in the Electronic Health Record: A Review of Recent Research (2008, background): “" [7] NLP research focuses on building computational models for understanding natural language.”
- Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner (2022, methodology): “Traditionally, natural language processing (NLP) frameworks were based on white-box methods such as rule-based systems (Allen, 1988; Ribeiro et al., 2019; Ribeiro and Forbus, 2021) and decision trees (Boros et al., 2017), which were inherently in-spectable (Danilevsky et al., 2020).”