Reading Notes
Sarcasm Detection
Detecting Sarcasm is Extremely Easy ;) (Parde & Nielson 2018)
Gist Doain general sarcasm detection system Applied to twitter and amazon product reviews Con...
Harnessing Context Incongruity for Sarcasm Detection (Joshi et al 2015)
Gist The key part of this paper is that incongruity e.g. clashes in sentiment are central to th...
Sarcasm as Contrast between a Positive Sentiment and Negative Sentiment
Ellen Riloff, Ashequl Qadir, Prafulla Surve, Lalindra De Silva, Nathan Gilbert, Ruihong Huang No...
Neural Networks
Catastrophic Interference in Neural Embedding Models (Dachapally & Jones)
Catastrophic forgetting is the tendancy of neural models to have a strong recency bias e.g. more ...
Querying word embeddings for word similarity and relatdness
Word relatedness is sometimes asymmetrical e.g. stork may elicit associations with baby but baby...
Multi-Task Deep Neural Networks for Natural Language Understanding
Answer Scoring
Riordan et al., 2019
How to account for mispellings: Quantifying the benefit of character representations in neural c...
Horbach et al., 2019
The influence of variance in learner answers on automatic content scoring Andrea Horbach and Tor...
Riordan et al. 2020
An empirical investigation of neural methods for content scoring of science explanations NGSS sc...
CLINGDINGS
How do you determine the worth of a language?
How do you determine the worth of a language? Arle Lommen October 30 2019 2019 is the UN year o...
November 6th 2019: Hai, Peng
Product harm report evaluation Product harm crises are when products cause indicents and lead to...
Alan Ridel
We know that there were a large number (25,000 books published during the victorian era) of books...
Hai Hu 02-19-2020
Building a natural language inference dataset in Chinese What is NLI? when you have to determin...
Zeeshan 02-19-2020
Internship at Amazon and forthcoming thesis What is transfer learning? Transfer learning is a ...
Parsing
Overview of the SPMRL 2013 Shared Task:Cross-Framework Evaluation of Parsing Morphologically Rich Languages
Central topic Provide standard datasets for morphologically rich languages in different represe...
Dependency Parsing
Characterizing the Errors of Data-Driven Dependency Parsing Models
McDonald & Nivre 2007 Background Two basic approaches to dependency parsing are all pairs a...
Reading Template
Central topic Methodology Findings Follow up readings
Professionalization workshop
Language Modelling
Swahili Syntax
Syntax for "Exotic" languages
Developing Universal Dependencies for Wolof
The paper can be found here. Wolof is a Niger-Congo language (however it is Senegambian where Ba...
Towards a dependency-annotated treebank for Bambara (Aplonova & Tyers 2018)
POS tags automatically converted (using rules), treebank handcrafted AS of writing, only 116 se...
To Read
ParGramBank Try to find documentation of Bambara UD treebank in paper form Read through inform...
Universal Dependencies
A Universal Part-of-Speech Tagset (Petrov, Das, McDonald)
Abstract 12 universal part of speech tags mappings from 25 different treebank tagsets used Co...
Universal Depedencies v1: A Multilingual Treebank Collection
(Nivre, Marneffe, Ginter, Goldberg, Hajic, Manning, McDonald, Petrov, Pyysalo, Silveira, Tsarfaty...
CG to Dependency Parse
Reusing Grammatical Resources for New Languages
Lene Antonsen, Trond Trosterud, Linda Wiechetek Takeaway Machine-readable grammars can be more ...
Estonian Dependency Treebank: from Constraint Grammar Tagset to Universal Dependencies
Kadri Muischnek, Kaili Müürisep, Tiina Puolakainen Central topic Dependency treebank in Univers...