Topics
Akkadian and cuneiform NLP
The language of Babylon and Assyria and the wedge-shaped script it was written in.
15 cards🏷️Named entity recognition
Finding the names in a text and saying what each names: a person, a place, an organization.
10 cards🧵Discourse analysis
How the sentences of a text hang together: what follows from what, and why.
86 cards💬Speech act theory
Saying as doing: asking, promising, ordering, thanking.
34 cards😉Implicature
What a speaker means beyond what the words say.
19 cards🔗Coreference resolution
Which words of a text name the same person or thing.
96 cards🔀Word sense disambiguation
Choosing the meaning a word has in its sentence.
22 cards🌳Dependency parsing
Every word of a sentence attached to the word it depends on.
98 cards🌐Universal Dependencies
One way to annotate the grammar of every language.
74 cards🗂️Treebanks
Corpora where every sentence comes with its grammatical tree.
139 cards🎭Semantic role labeling
Who did what to whom, where, when and why.
46 cards🔤Part-of-speech tagging
Noun, verb, adjective: the part of speech of every word in its context.
80 cards🔁Machine translation
Translating text from one language to another by program.
326 cardsThis page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/topics/