Neural Methods in NLP
Kursbeschreibung
| Studiengang | Modulkürzel | Leistungs- bewertung |
|---|---|---|
| BA-2010 | AS-FL | 8 LP |
| Master | SS-CL, SS-FAL | 8 LP |
| Dozenten/-innen | Anette Frank |
| Veranstaltungsart | Blockseminar |
| Erster Termin | 27.03.2017 |
| Zeit und Ort | 10:00–17:00 Uhr Raumänderung: 27., 29., 30., 31.3: INF 325. SR 7 Dienstag 28.3.: INF 326 SR 28 |
| Commitment-Frist: | 19.06.17 bis 12.07.17 |
Teilnahmevoraussetzungen
- Mathematische Grundlagen der CL
- Statistical Methods for CL
Leistungsnachweis
- Lektüre und aktive Teilnahme
- Referat
- Hausarbeit oder Projekt
Inhalt
In the seminar we will investigate neural NLP methods and how they are applied in a variety of NLP tasks, and compare them to traditional methods for these tasks.
Phenomena will include
- sequence labeling problems (POS tagging, supertagging, NER)
- structure prediction tasks such as parsing, SRL, or semantic parsing
- word embeddings and their use in sense disambiguation or lexical acquisition tasks
- coreference resolution
- NL generation
- higher-level NLP applications, such as question answering, reading comprehension or inferencing tasks
Based on the discussed papers we will construct a chart of system architectures and variations that characterize successful systems.
Note:
- The list of papers to be discussed in the seminar will be published by Feb. 28th on this page.
- Seminar participants have to register from 13th to 17th of March by email, with a list of at least 3 candidate papers for presentation.
Introductory material to Deep Learning:
