72 citations · 225 across the 15 of their papers we have counts for
10 papers · 1 filter
We Don't Speak the Same Language: Interpreting Polarization through Machine Translation
Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet +1
Polarization among US political parties, media and elites is a widely studied topic. Prominent lines of prior research across multiple disciplines have observed and analyzed growin…
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction
Mariya Toneva, Otilia Stretcu, Barnabas Poczos +2
How meaning is represented in the brain is still one of the big open questions in neuroscience. Does a word (e.g., bird) always have the same representation, or does the task under…
Discovering Bilingual Lexicons in Polyglot Word Embeddings
Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Tom M. Mitchell
Bilingual lexicons and phrase tables are critical resources for modern Machine Translation systems. Although recent results show that without any seed lexicon or parallel data, hig…
Look-up and Adapt: A One-shot Semantic Parser
Zhichu Lu, Forough Arabshahi, Igor Labutov +1
Computing devices have recently become capable of interacting with their end users via natural language. However, they can only operate within a limited "supported" domain of disco…
Understanding language-elicited EEG data by predicting it from a fine-tuned language model
Dan Schwartz, Tom Mitchell
Electroencephalography (EEG) recordings of brain activity taken while participants read or listen to language are widely used within the cognitive neuroscience and psycholinguistic…
Competence-based Curriculum Learning for Neural Machine Translation
Emmanouil Antonios Platanios, Otilia Stretcu, Graham Neubig +2
Current state-of-the-art NMT systems use large neural networks that are not only slow to train, but also often require many heuristics and optimization tricks, such as specialized…