Summary of the paper
| Title | Task-Driven Linguistic Analysis based on an Underspecified Features Representation |
|---|---|
| Authors | Stasinos Konstantopoulos, Valia Kordoni, Nicola Cancedda, Vangelis Karkaletsis, Dietrich Klakow and Jean-Michel Renders |
| Abstract | In this paper we explore a task-driven approach to interfacing NLP components, where language processing is guided by the end-task that each application requires. The core idea is to generalize feature values into feature value distributions, representing under-specified feature values, and to fit linguistic pipelines with a back-channel of specification requests through which subsequent components can declare to preceding ones the importance of narrowing the value distribution of particular features that are critical for the current task. |
| Topics | Information Extraction, Information Retrieval, Parsing, Statistical and machine learning methods |
Full paper  |
Task-Driven Linguistic Analysis based on an Underspecified Features Representation |
| Bibtex | @InProceedings{KONSTANTOPOULOS12.219, author = {Stasinos Konstantopoulos and Valia Kordoni and Nicola Cancedda and Vangelis Karkaletsis and Dietrich Klakow and Jean-Michel Renders}, title = {Task-Driven Linguistic Analysis based on an Underspecified Features Representation}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |