Top Tweets for #conll2019
@rensbod A paper by @hila_gonen @YovaKem & @yoavgo just argued that language-specific morphological analyzers are needed to address bias in embeddings:
https://t.co/Rk0s7UIUVP
That matches my experience with contextual models, so there's still an important role! #CoNLL2019 #emnlp2019
@Quantum_Stat Hola please find the unroll here: Thread by @conll2019: "Big congrats to the winners of the paper awards: 1) Best Paper: https://t.co/7GQcruX8yg… by Gonen, Kementch […]" #conll2019 https://t.co/gbI3PRl8sW
See you soon. 🤖
@jusjosgra Hello, there is your unroll: Thread by @mayhewsw: "Chris Manning keynote: multi-step reasoning for answering complex questions. Manning: Lehnert (197 […]" #conll2019 #emnlp2019 https://t.co/nadGdiPkrA
Have a good day. 🤖
We also had 2 honorable mentions for each best paper category:
Honorable mentions for best paper:
1) https://t.co/VgWObYsLAc by Koshorek, Stanovsky, Zhou, Srikumar, Berant
2) https://t.co/mLIAn7rEDn by Jumelet, Zuidema, Hupkes
Great keynote by @chrmanning on Neural State Machine. Motivates explainable AI, grounded NLP, and reasoning! @emnlp2019 @conll2019 #EMNLP #EMNLP2019 #CoNLL2019
Congrats, Jaap @JumeletJ Jelle @wzuidema and Dieuwke @_dieuwke_ for the Honorable mention at #CoNLL2019 best papers!! Very nice work.
@AmsterdamNLP
We also had 2 honorable mentions for each best paper category:
Honorable mentions for best paper:
1) https://t.co/VgWObYsLAc by Koshorek, Stanovsky, Zhou, Srikumar, Berant
2) https://t.co/mLIAn7rEDn by Jumelet, Zuidema, Hupkes
@HanRujun @AlexHsu_Bear @VioletNPeng @nlp_usc #pluslab Presenting their work on Temporal Relation Extraction #CoNLL2019 #emnlp2019
Named Entity Recognition with Partially Annotated Training Data, presented by Stephen Mayhew (@mayhewsw) (poster at #CoNLL2019) https://t.co/gjWSDr0O1L
Thread of Cogcomp talks at #EMNLP2019 (and workshops):
A General-Purpose Algorithm for Constrained Sequential Inference, presented by Dan Deutsch (talk at #CoNLL2019) https://t.co/CNJcjRYBvP
yay! @hila_gonen and @YovaKem 's work just won #CoNLL2019 best paper!
we look at what happens to word embeddings in languages in which inanimate nouns have gender (spoiler: they cluster into gender groups) and attempt to control for that, improving the embeddings quality.
Big congrats to the winners of the #conll2019 paper awards: 1) Best Paper: https://t.co/CU7bz7ETw6 by Gonen, Kementchedjhieva, Goldberg; 2) Best Paper for Research Inspired by Human Language Learning: https://t.co/veWUM6k7N7 by Rabinovich, Watson, Beekhuizen, Stevenson.
Big congrats to the winners of the #conll2019 paper awards: 1) Best Paper: https://t.co/CU7bz7ETw6 by Gonen, Kementchedjhieva, Goldberg; 2) Best Paper for Research Inspired by Human Language Learning: https://t.co/veWUM6k7N7 by Rabinovich, Watson, Beekhuizen, Stevenson.
Nice talk from @hila_gonen on grammatical gender in embeddings. Example: closest embeddings to an Italian feminine noun tend to be feminine, despite grammatical gender being arbitrary. Yet another aspect of language that is missed when we use only English! #emnlp2019 #conll2019
Nice talk from @hila_gonen on grammatical gender in embeddings. Example: closest embeddings to an Italian feminine noun tend to be feminine, despite grammatical gender being arbitrary. Yet another aspect of language that is missed when we use only English! #emnlp2019 #conll2019
Manning: big picture summary. References Kahnemann “Thinking Fast and Slow”. Most work has been “fast” (pattern matching), lets do “slow” (thinking and reasoning) #conll2019 #emnlp2019
Manning: Part II, back to textual QA. Content is from this paper (at EMNLP, by @qi2peng2 and others): https://t.co/zTR5MwnRw0 Again: Multi-step reasoning is the focus #conll2019 #emnlp2019
Manning: concepts are represented by disentangled attributes/properties (reminds me of semantic decomposition work from @jhuclsp). Entities are nodes in the NSM, properties are edges. #conll2019 #emnlp2019
Manning: instead of dividing VQA into V or QA, let's model the "language of thought", or concepts. Method is attention over *concepts* via neural state machines (NSM) (NeurIPS 2019 paper). #conll2019 #emnlp2019
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