Natural Language Engineering & Web
Applications: at-a-glance
• Main areas of research:
– Machine learning applied to NL:
Acquiring commonsense
knowledge from text,
segmentation, summarization,
text classification, machine
translation
– Empirical models of semantic
interpretation, e.g., anaphora
– Dialogue & Speech
– Formal semantics & formal
models of agents’ info states
– IR and Web Search
• Members of group:
– 7 staff (Fasli, Fox,
Kruschwitz, Poesio,
Reynolds, Robinson,
Steel)
– 6 PhD (Alexandrov-
Kabadjov, al-Haddad,
Almuhareb, Goweder,
Jafri, Sanchez-Graillet)
– 1 RA (al-Bakour)