Katharina Kann

research

∙ 05/26/2023

An Investigation of Noise in Morphological Inflection

With a growing focus on morphological inflection systems for languages w...

0 Adam Wiemerslage, et al. ∙

research

∙ 02/15/2023

Meeting the Needs of Low-Resource Languages: The Value of Automatic Alignments via Pretrained Models

Large multilingual models have inspired a new class of word alignment me...

0 Abteen Ebrahimi, et al. ∙

research

∙ 12/19/2022

Mind the Knowledge Gap: A Survey of Knowledge-enhanced Dialogue Systems

Many dialogue systems (DSs) lack characteristics humans have, such as em...

0 Sagi Shaier, et al. ∙

research

∙ 11/30/2022

A Major Obstacle for NLP Research: Let's Talk about Time Allocation!

The field of natural language processing (NLP) has grown over the last f...

0 Katharina Kann, et al. ∙

research

∙ 10/22/2022

A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection

Neural networks have long been at the center of a debate around the cogn...

0 Adam Wiemerslage, et al. ∙

research

∙ 03/21/2022

Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability

Pretrained multilingual models enable zero-shot learning even for unseen...

0 Yoshinari Fujinuma, et al. ∙

research

∙ 03/16/2022

BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages

Morphologically-rich polysynthetic languages present a challenge for NLP...

0 Manuel Mager, et al. ∙

research

∙ 03/16/2022

Morphological Processing of Low-Resource Languages: Where We Are and What's Next

Automatic morphological processing can aid downstream natural language p...

0 Adam Wiemerslage, et al. ∙

research

∙ 10/15/2021

The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color

Recent work has raised concerns about the inherent limitations of text-o...

0 Cory Paik, et al. ∙

research

∙ 08/14/2021

Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages

We present the findings of the LoResMT 2021 shared task which focuses on...

19 Atul Kr. Ojha, et al. ∙

research

∙ 07/08/2021

Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)

Welcome to WeaSuL 2021, the First Workshop on Weakly Supervised Learning...

0 Michael A. Hedderich, et al. ∙

research

∙ 06/12/2021

Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data

High-performing machine translation (MT) systems can help overcome langu...

0 Rajat Bhatnagar, et al. ∙

research

∙ 06/09/2021

What Would a Teacher Do? Predicting Future Talk Moves

Recent advances in natural language processing (NLP) have the ability to...

0 Ananya Ganesh, et al. ∙

research

∙ 06/07/2021

PROST: Physical Reasoning of Objects through Space and Time

We present a new probing dataset named PROST: Physical Reasoning about O...

0 Stephane Aroca-Ouellette, et al. ∙

research

∙ 06/03/2021

How to Adapt Your Pretrained Multilingual Model to 1600 Languages

Pretrained multilingual models (PMMs) enable zero-shot learning via cros...

0 Abteen Ebrahimi, et al. ∙

research

∙ 04/18/2021

AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages

Pretrained multilingual models are able to perform cross-lingual transfe...

12 Abteen Ebrahimi, et al. ∙

research

∙ 01/26/2021

CLiMP: A Benchmark for Chinese Language Model Evaluation

Linguistically informed analyses of language models (LMs) contribute to ...

0 Beilei Xiang, et al. ∙

research

∙ 01/26/2021

Coloring the Black Box: What Synesthesia Tells Us about Character Embeddings

In contrast to their word- or sentence-level counterparts, character emb...

3 Katharina Kann, et al. ∙

research

∙ 10/06/2020

Tackling the Low-resource Challenge for Canonical Segmentation

Canonical morphological segmentation consists of dividing words into the...

0 Manuel Mager, et al. ∙

research

∙ 10/05/2020

Acrostic Poem Generation

We propose a new task in the area of computational creativity: acrostic ...

0 Rajat Agarwal, et al. ∙

research

∙ 06/21/2020

The NYU-CUBoulder Systems for SIGMORPHON 2020 Task 0 and Task 2

We describe the NYU-CUBoulder systems for the SIGMORPHON 2020 Task 0 on ...

0 Assaf Singer, et al. ∙

research

∙ 05/28/2020

The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion

In this paper, we describe the findings of the SIGMORPHON 2020 shared ta...

0 Katharina Kann, et al. ∙

research

∙ 05/27/2020

Self-Training for Unsupervised Parsing with PRPN

Neural unsupervised parsing (UP) models learn to parse without access to...

0 Anhad Mohananey, et al. ∙

research

∙ 05/26/2020

English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too

Intermediate-task training has been shown to substantially improve pretr...

0 Jason Phang, et al. ∙

research

∙ 05/25/2020

The IMS-CUBoulder System for the SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion

In this paper, we present the systems of the University of Stuttgart IMS...

0 Manuel Mager, et al. ∙

research

∙ 05/03/2020

Unsupervised Morphological Paradigm Completion

We propose the task of unsupervised morphological paradigm completion. G...

0 Huiming Jin, et al. ∙

research

∙ 05/01/2020

Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?

While pretrained models such as BERT have shown large gains across natur...

0 Yada Pruksachatkun, et al. ∙

research

∙ 04/28/2020

Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages

Part-of-speech (POS) taggers for low-resource languages which are exclus...

0 Katharina Kann, et al. ∙

research

∙ 04/28/2020

Learning to Learn Morphological Inflection for Resource-Poor Languages

We propose to cast the task of morphological inflection - mapping a lemm...

0 Katharina Kann, et al. ∙

research

∙ 10/22/2019

Grammatical Gender, Neo-Whorfianism, and Word Embeddings: A Data-Driven Approach to Linguistic Relativity

The relation between language and thought has occupied linguists for at ...

0 Katharina Kann, et al. ∙

research

∙ 10/12/2019

Acquisition of Inflectional Morphology in Artificial Neural Networks With Prior Knowledge

How does knowledge of one language's morphology influence learning of in...

0 Katharina Kann, et al. ∙

research

∙ 09/04/2019

Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set

Development sets are impractical to obtain for real low-resource languag...

0 Katharina Kann, et al. ∙

research

∙ 08/16/2019

Transductive Auxiliary Task Self-Training for Neural Multi-Task Models

Multi-task learning and self-training are two common ways to improve a m...

0 Johannes Bjerva, et al. ∙

research

∙ 06/09/2019

Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings

Word embeddings typically represent different meanings of a word in a si...

0 Yadollah Yaghoobzadeh, et al. ∙

research

∙ 04/03/2019

Subword-Level Language Identification for Intra-Word Code-Switching

Language identification for code-switching (CS), the phenomenon of alter...

0 Manuel Mager, et al. ∙

research

∙ 11/27/2018

Verb Argument Structure Alternations in Word and Sentence Embeddings

Verbs occur in different syntactic environments, or frames. We investiga...

0 Katharina Kann, et al. ∙

research

∙ 10/16/2018

The CoNLL--SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection

The CoNLL--SIGMORPHON 2018 shared task on supervised learning of morphol...

0 Ryan Cotterell, et al. ∙

research

∙ 09/24/2018

Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting

Neural state-of-the-art sequence-to-sequence (seq2seq) models often do n...

0 Katharina Kann, et al. ∙

research

∙ 09/24/2018

Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!

Motivated by recent findings on the probabilistic modeling of acceptabil...

0 Katharina Kann, et al. ∙

research

∙ 07/18/2018

Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name Typing

Embedding models typically associate each word with a single real-valued...

0 Yadollah Yaghoobzadeh, et al. ∙

research

∙ 07/01/2018

Lost in Translation: Analysis of Information Loss During Machine Translation Between Polysynthetic and Fusional Languages

Machine translation from polysynthetic to fusional languages is a challe...

0 Manuel Mager, et al. ∙

research

∙ 04/17/2018

Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages

Morphological segmentation for polysynthetic languages is challenging, b...

0 Katharina Kann, et al. ∙

research

∙ 05/17/2017

Unlabeled Data for Morphological Generation With Character-Based Sequence-to-Sequence Models

We present a semi-supervised way of training a character-based encoder-d...

0 Katharina Kann, et al. ∙

research

∙ 03/31/2017

One-Shot Neural Cross-Lingual Transfer for Paradigm Completion

We present a novel cross-lingual transfer method for paradigm completion...

0 Katharina Kann, et al. ∙

research

∙ 02/07/2017

Comparative Study of CNN and RNN for Natural Language Processing

Deep neural networks (DNN) have revolutionized the field of natural lang...

0 Wenpeng Yin, et al. ∙

research

∙ 12/19/2016

Neural Multi-Source Morphological Reinflection

We explore the task of multi-source morphological reinflection, which ge...

0 Katharina Kann, et al. ∙

research

∙ 06/02/2016

Single-Model Encoder-Decoder with Explicit Morphological Representation for Reinflection

Morphological reinflection is the task of generating a target form given...

0 Katharina Kann, et al. ∙

Katharina Kann

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