• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher
  • 
    Year
  • 
    Medium
  • 
    Type:
    
    • Miscellaneous (5)
    • Article (1)
  • 
    BLLDB-Access

Search in the Catalogues and Directories

All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 6 of 6 1 CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems ... Chawla, Kushal; Ramirez, Jaysa; Clever, Rene. - : arXiv, 2021 BASE Show details 2 CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems ... NAACL 2021 2021; Chawla, Kushal; Clever, Rene. - : Underline Science Inc., 2021 BASE Show details 3 Towards Emotion-Aware Agents For Negotiation Dialogues ... Chawla, Kushal; Clever, Rene; Ramirez, Jaysa. - : arXiv, 2021 BASE Show details 4 Exploring Early Prediction of Buyer-Seller Negotiation Outcomes ... Chawla, Kushal; Lucas, Gale; May, Jonathan. - : arXiv, 2020 BASE Show details 5 Improving generation quality of pointer networks via guided attention ... Chawla, Kushal; Krishna, Kundan; Srinivasan, Balaji Vasan. - : arXiv, 2019 Abstract: Pointer generator networks have been used successfully for abstractive summarization. Along with the capability to generate novel words, it also allows the model to copy from the input text to handle out-of-vocabulary words. In this paper, we point out two key shortcomings of the summaries generated with this framework via manual inspection, statistical analysis and human evaluation. The first shortcoming is the extractive nature of the generated summaries, since the network eventually learns to copy from the input article most of the times, affecting the abstractive nature of the generated summaries. The second shortcoming is the factual inaccuracies in the generated text despite grammatical correctness. Our analysis indicates that this arises due to incorrect attention transition between different parts of the article. We propose an initial attempt towards addressing both these shortcomings by externally appending traditional linguistic information parsed from the input text, thereby teaching networks on ... : In AAAI-19 Workshop on Network Interpretability for Deep Learning ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG; Machine Learning stat.ML URL: https://dx.doi.org/10.48550/arxiv.1901.11492 https://arxiv.org/abs/1901.11492 BASE Hide details 6 Aff2Vec: Affect--Enriched Distributional Word Representations ... Khosla, Sopan; Chhaya, Niyati; Chawla, Kushal. - : arXiv, 2018 BASE Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 0 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 6 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0