D. Radev. Learning correlations between linguistic indicators and semantic constraints: Reuse of context-dependent descriptions of entities. In Proc. of the COLING-ACL Conf., 1998. Home/Search Document Details and Download
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Automated Learning and Discovery: State-Of-The-Art and Research.. - Thrun (1998) (6 citations) (Correct)
.... citation indexing [2, 10] event detection in text streams [24] document routing [1] and classification [5, 17] organization and presentation of documents in information retrieval systems [6, 7] collaborative filtering [3] lexicon learning [4] query reformulation [11] text generation [21] and analysis of the statistical properties of text [15] In short, the state of the art in learning from text and the web is that a broad range of methods are currently being applied to many important and interesting tasks. There remain numerous open research questions, however. Broadly, the ....
D. R. Radev. Learning correlations between linguistic indicators and semantic constrints: Reuse of context-dependent descriptions of entities.
Report on the CONALD Workshop on Learning from Text.. - Carbonell, Craven.. (1998) (3 citations) (Correct)
.... indexing [BLG, KP] event detection in text streams [YPC] document routing [ADW] and classification [GWI, Moo] organization and presentation of documents in information retrieval systems [GS, Hof] collaborative filtering [dVN] lexicon learning [GBGH] query reformulation [KK] text generation [Rad] and analysis of the statistical properties of text [MA] In short, the state of the art in learning from text and the web is that a broad range of methods are currently being applied to many important and interesting tasks. There remain numerous open research questions, however. Broadly, the ....
....as restaurant directories. Their method is able to induce extraction rules from small numbers of labeled examples. These learned extraction rules are then applied so that Web pages can be treated like structured databases. As an example of work geared toward the latter goal, Shavlik and Eliassi Rad [SER] have developed an approach to increasing the communication bandwidth between users and learning agents that perform tasks such as home page finding. Their approach enables a user to give advice to a learning agent at any time during the agent s lifetime. The advice is incorporated into the ....
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D. R. Radev. Learning correlations between linguistic indicators and semantic constrints: Reuse of context-dependent descriptions of entities.
Automated Learning and Discovery: State-Of-The-Art .. - Thrun, Faloutsos, .. (1998) (6 citations) (Correct)
.... citation indexing [2, 10] event detection in text streams [24] document routing [1] and classification [5, 17] organization and presentation of documents in information retrieval systems [6, 7] collaborative filtering [3] lexicon learning [4] query reformulation [11] text generation [21] and analysis of the statistical properties of text [15] In short, the state of the art in learning from text and the web is that a broad range of methods are currently being applied to many important and interesting tasks. There remain numerous open research questions, however. Broadly, the ....
D. R. Radev. Learning correlations between linguistic indicators and semantic constrints: Reuse of context-dependent descriptions of entities.
Customization in a Unified Framework for Summarizing.. - Elhadad, Kan.. (2005) (Correct)
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D. Radev. Learning correlations between linguistic indicators and semantic constraints: Reuse of context-dependent descriptions of entities. In Proc. of the COLING-ACL Conf., 1998.
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